For the sake of attendance planning, the organizing committee has decided to release a detailed conference program. A search tool has been also made available to retrieve the details (title, authors, slot, day, session, room) of all accepted papers.
The detailed program with complete session info is published and accessible via INFOVAYA
NOTE: A detailed program for workshop papers can be found in https://2023.ieee-itsc.org/detailed-workshop-program/.
Monday 25th
Tuesday 26th
Wednesday 27th
Thursday 28th
Monday 25th
Tuesday 26th
Wednesday 27th
Thursday 28th
The shortcodes 0A, 0B, …, 5H refer to the rooms of the Euskalduna Congress Hall. Please check this website for further details about them.
All sessions (except for poster sessions) are scheduled for the oral presentations of their assigned papers. In accordance with the presentation guidelines, each oral presentation will be max. 10 minutes, 4 for Q&A and 1 minute for switching. On the other hand, posters of papers allocated to poster sessions will be exhibited to the conference attendees during the entire day on which the session is held. A slot in the evening is scheduled for authors to explain the poster and interact with the rest of attendees. We refer to the detailed instructions in this link for further details about the materials, connectors and requirements for oral and poster presentations.
The table below allows searching by author name, title or submission number to find the allocation (session, room, day and slot) of the presentation of the paper(s).
Unless proven exceptional circumstances, no changes in the assignment of papers to slots will be allowed.
| Submission Nr | Session | ROOM | DAY | SLOT | TRACK | Authors | Title |
|---|---|---|---|---|---|---|---|
| 1274 | AGP01 | 5G | 27 | 10:00-11:30 | Accurate Global Positioning | Araujo, Paulo; Noureldin, Aboelmagd; Givigi, Sidney | Robust Land Vehicle Positioning with Invariant Kalman Filters and Map-Based Corrections |
| 1634 | AGP01 | 5G | 27 | 10:00-11:30 | Accurate Global Positioning | von Einem, Cornelius; Cramariuc, Andrei; Siegwart, Roland; Cadena, Cesar; Tschopp, Florian | Path-Constrained State Estimation for Rail Vehicles |
| 1225 | AGP01 | 5G | 27 | 10:00-11:30 | Accurate Global Positioning | Kim, Jeong-Hoon; Kong, Seung-Hyun; Sun, Min-Hyeok | Vehicle Localization Network using Simultaneous Coarse and Fine Visual Map Matching |
| 1188 | AGP01 | 5G | 27 | 10:00-11:30 | Accurate Global Positioning | YIN, Huilin; Sun, Mina; Zhang, Linchuan; Yan, Jun; Betz, Johannes | Ground-optimized SLAM with Hierarchical Loop Closure Detection in Large-scale Environment |
| 399 | AGP01 | 5G | 27 | 10:00-11:30 | Accurate Global Positioning | Matute, Jose; Rodriguez-Arozamena, Mario; Pérez Rastelli, Joshué; Karimoddini, Ali | Sensor Fusion-Based Localization Framework for Autonomous Vehicles in Rural Forested Environments |
| 970 | AGP01 | 5G | 27 | 10:00-11:30 | Accurate Global Positioning | Zhang, Liang; Chen, Pei; Zheng, Zhentan; Chen, Shitao; Zheng, Nanning | A Coarse-to-Fine 2D Lidar Localization based on Mento-Carlo and Iterative Closet Point |
| 241 | AGP02 | 5G | 27 | 11:30-13:00 | Accurate Global Positioning | Fu, Wufei; Zhuo, Guirong; Lu, Xiong; Tang, Xiao; Jia, Ruoheng | UWB Range-Assisted Monocular Visual Localization System for Underground Parking Lots |
| 1657 | AGP02 | 5G | 27 | 11:30-13:00 | Accurate Global Positioning | Endo, Yuki; Kamijo, Shunsuke | Self-Localization Error Evaluation from Map Structure based on Autocorrelation Values |
| 975 | AGP02 | 5G | 27 | 11:30-13:00 | Accurate Global Positioning | Wang, Shiteng; Shen, Yanqing; Zhang, Liang; Chen, Pei; Chen, Shitao; Xin, Jingmin; Zheng, Nanning | Direction-Based Feature Selection for Efficient LiDAR Odometry in Urban Environment |
| 507 | AGP02 | 5G | 27 | 11:30-13:00 | Accurate Global Positioning | Noizet, Maxime; Xu, Philippe; BONNIFAIT, Philippe | Pole-based vehicle localization with vector maps: a camera-LiDAR comparative study |
| 1042 | AGP02 | 5G | 27 | 11:30-13:00 | Accurate Global Positioning | Barros, Tiago; Garrote, Luis; Aleksandrov, Martin Damyanov; Premebida, Cristiano; Nunes, Urbano J. | TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition |
| 196 | AGP02 | 5G | 27 | 11:30-13:00 | Accurate Global Positioning | Song, Junlin; Sanchez Cuevas, Pedro; Richard, Antoine; Olivares-Mendez, Miguel | GPS-aided Visual Wheel Odometry |
| 712 | AGP03 | 5G | 27 | 15:00-16:00 | Accurate Global Positioning | Li, Rui; Li, Yuhang; Wang, Yafei; Zhang, Ruitao; Liu, Xulei | DynamicRemover: Constructing Static Map with Object Dynamic Probability Analysis |
| 1391 | AGP03 | 5G | 27 | 15:00-16:00 | Accurate Global Positioning | Martin Rodriguez, Aitor; Khademi, Naeem | Evaluation Study of Inertial Positioning in Road Tunnels for Cooperative ITS Applications |
| 589 | AGP03 | 5G | 27 | 15:00-16:00 | Accurate Global Positioning | Wu, Zhihong; Wang, Huaide; An, Hao; Zhu, Yuan; Xu, Ruidong; Lu, Ke | DPC-SLAM: Discrete Plane Constrained VSLAM for Intelligent Vehicle in Road Environment |
| 512 | AGP03 | 5G | 27 | 15:00-16:00 | Accurate Global Positioning | Al Hage, Joelle; Salvatico, Nicolò; BONNIFAIT, Philippe | High Integrity Localization of Intelligent Vehicles with Students T Filtering and Fault Exclusion |
| 485 | ATM01 | 0C | 26 | 11:00-12:00 | Air Transport | Alatorre, Armando; Castillo, Pedro; LOZANO, Rogelio | Control architecture for catching a fixed-wing drone using a ground vehicle |
| 520 | ATM01 | 0C | 26 | 11:00-12:00 | Air Transport | Theunissen, Mathilde; POUSSEUR, Hugo; Castillo, Pedro; Victorino, Alessandro | Cooperative architecture using air and ground vehicles for the search and recognition of targets |
| 738 | ATM01 | 0C | 26 | 11:00-12:00 | Air Transport | Liu, Chang; Szirányi, Tamás | Active Wildfires Detection and Dynamic Escape Routes Planning for Humans through Cooperation between Drones and Satellites |
| 1087 | ATM01 | 0C | 26 | 11:00-12:00 | Air Transport | Liang, Xinyu; Ma, Xiaoliang | AVIATOR: fAst Visual perceptIon and Analytics for drone-based Traffic OpeRations |
| 659 | ATM02 | 0C | 26 | 12:00-13:00 | Air Transport | Johnson, Demetrius; Schall, Jonathan; Sauer, Ryan; Pellegrini, Olivia; Mottakin, Khairul; Shen, Jie; Song, Zheng | Drone-Car Collaboration: An Emerging Domain for Intelligent Transportation Systems |
| 667 | ATM02 | 0C | 26 | 12:00-13:00 | Air Transport | Xue, Chaozhong; Dong, Yongqi; Liu, Jiaqi; Liao, Yijun; Li, Lingbo | Design of the Reverse Logistics System for Medical Waste Recycling Part I: System Architecture and Disposal Site Selection Algorithm |
| 1227 | ATM02 | 0C | 26 | 12:00-13:00 | Air Transport | Yang, Yang; Zhang, Yishan; Qian, Shengsheng; Zhang, Minghua; Cai, Kaiquan | Transformer based Multi-modal Memory-augmented Masked Network for Air Crisis Event Detection |
| 181 | ATM02 | 0C | 26 | 12:00-13:00 | Air Transport | Cao, Yue; ShangGuan, Wei; Zhang, Lu; Zha, Yuanyuan; Chai, Linguo | Operation Optimization and Simulation Test of Passenger Transport System in Airport Environment |
| 1557 | ATM03 | 0D | 26 | 12:00-13:00 | Air Transport | Li, Tingyu; zhang, xiang; Tang, Zihao; liu, yudie | AGVS-T22: A New Mutilple Object Tracking Dataset for Airport Ground Video Surveillance |
| 553 | ATM03 | 0D | 26 | 12:00-13:00 | Air Transport | Sung, Minjun; Karumanchi, Sambhu Harimanas; Hiltebrandt-McIntosh, Christophe; Kim, Hunmin; Hovakimyan, Naira | Tackling Airspace Congestion: A Scalable and Robust Framework for End-to-End UAS Traffic Management |
| 1612 | ATM03 | 0D | 26 | 12:00-13:00 | Air Transport | Hui, Yi; Cai, Kaiquan; Zhang, Minghua; Qian, Shengsheng; Yang, Yang | ATCBERT：Few-shot Intent Recognition for Air Traffic Control Instruction Understanding |
| 198 | ATM03 | 0D | 26 | 12:00-13:00 | Air Transport | Su, Jiaming; Hu, Minghua; Yin, Jianan; Liu, Yingli | Research on Apron Control: Traffic Complexity and Control Area Division Method |
| 1534 | AVSS01 | 3B | 27 | 11.30-13.00 | Advanced vehicle safety | Zhang, Ruicong; Hu, Jia | Spatial Risk Distribution: A quantitative approach for assessing hazards from space |
| 630 | AVSS01 | 3B | 27 | 11.30-13.00 | Advanced vehicle safety | Yabe, Takuma; YANO, HIROAKI | Haptic Interface for Proximity Object Recognition Considering Hand Structure |
| 745 | AVSS01 | 3B | 27 | 11.30-13.00 | Advanced vehicle safety | Yuhas, Michael; Easwaran, Arvind | Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems |
| 875 | AVSS01 | 3B | 27 | 11.30-13.00 | Advanced vehicle safety | Zhao, Chengxiang; wenhao, yu; Ma, Xiaohan; ZHAO, YUZHUANG; Li, Boqi; WANG, WEIDA; Hu, Jia; Wang, Hong; Zhao, Ding | Digitization of Traffic Laws: Methodologies and Usage for Monitoring Driving Compliance |
| 1374 | AVSS01 | 3B | 27 | 11.30-13.00 | Advanced vehicle safety | Yamada, Naoya; Honda, Kohei; Okuda, Hiroyuki; Suzuki, Tatsuya; nakahira, yorie | Bayesian Network-based Probabilistic Constraints for Safe Autonomous Driving in Occlusion Environments |
| 1317 | AVSS02 | 3B | 27 | 17.00-18.00 | Advanced vehicle safety | YANG, PEIWEN; Wen, Weisong | Tightly Joining Positioning and Control for Trustworthy Unmanned Aerial Vehicles Based on Factor Graph Optimization in Urban Transportation |
| 1438 | AVSS02 | 3B | 27 | 17.00-18.00 | Advanced vehicle safety | Tariq, Faizan M.; Isele, David; Baras, John; Bae, Sangjae | RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles |
| 339 | AVSS02 | 3B | 27 | 17.00-18.00 | Advanced vehicle safety | Zipfl, Maximilian; Spickermann, Sven; Zöllner, J. Marius | Utilizing Hybrid Trajectory Prediction Models to Recognize Highly Interactive Traffic Scenarios |
| 1216 | AVSS02 | 3B | 27 | 17.00-18.00 | Advanced vehicle safety | Li, Shizhen; Yang, Shuo; Wang, Liwen; Huang, Yanjun | Safe Reinforcement Learning for Lane-changing with comprehensive analysis of safety detection |
| 528 | AVSS03 | 5A | 27 | 15.00-16.30 | Advanced vehicle safety | Qi, Yi; Dong, Yi; Khastgir, Siddartha; Jennings, Paul; Zhao, Xingyu; Huang, Xiaowei | STPA for Learning-Enabled Systems: A Survey and a New Practice |
| 1452 | AVSS03 | 5A | 27 | 15.00-16.30 | Advanced vehicle safety | Söderlund, August; Jiang, Frank J.; Narri, Vandana; Alanwar, Amr; Johansson, Karl H. | Data-Driven Reachability Analysis of Pedestrians Using Behavior Modes |
| 817 | AVSS03 | 5A | 27 | 15.00-16.30 | Advanced vehicle safety | Wang, Zhiyong; Du, Shaoyi; Tian, Zhiqiang | Domain Adaptative Driving Behavior Recognition through Skeleton-guided Domain Adversarial Learning |
| 1136 | AVSS03 | 5A | 27 | 15.00-16.30 | Advanced vehicle safety | Xu, Tian; Yan, Xuerun; Zhang, Zhen; Hu, Jia; Lai, Jintao | A critical scenario filter to accelerate testing for automated vehicles |
| 298 | AVSS04 | 0D | 28 | 8.00-9.30 | Advanced vehicle safety | Braun, Thilo; Fuchs, Julian; Reisgys, Felix; Ries, Lennart; Plaum, Johannes; Schütt, Barbara Ulrike; Sax, Eric | A Review of Scenario Similarity Measures for Validation of Highly Automated Driving |
| 1409 | AVSS04 | 0D | 28 | 8.00-9.30 | Advanced vehicle safety | Fonseca Alexandre de Oliveira, Lucas; Bernhard, Johannes Norbert; Lars, Schories; Martin, Meywerk; Sax, Eric | Enhancing CARLA traffic simulation with pedestrian animation for testing perception functions in automated driving |
| 686 | AVSS04 | 0D | 28 | 8.00-9.30 | Advanced vehicle safety | Ramic, Amra; Kugele, Stefan | Simulation-based Support for Semi-automated Automotive Safety Analysis |
| 1223 | AVSS04 | 0D | 28 | 8.00-9.30 | Advanced vehicle safety | Li, Erhang; Yu, Huilong; Xi, Junqiang; Corno, Matteo; Savaresi, Sergio M. | Integrated LTV-MPC Collision Avoidance of Autonomous Tractor Semi-trailers in Emergency Scenarios |
| 304 | AVSS04 | 0D | 28 | 8.00-9.30 | Advanced vehicle safety | Yarza, Irune; Agirre, Irune; Mugarza, Imanol; Nitsche, Gregor; Uven, Patrick; Orbegozo, Juan Maria | Towards a Contract-Based Definition of Update-Compatibility Modelling Safety Integration Criteria |
| 125 | AVSS04 | 0D | 28 | 8.00-9.30 | Advanced vehicle safety | Rigoll, Philipp; Petersen, Patrick; Stage, Hanno; Ries, Lennart; Sax, Eric | Focus on the Challenges: Analysis of a User-Friendly Data Search Approach with CLIP in the Automotive Domain |
| 438 | CAV01 | 0C | 25 | 11.00-12.00 | Connected Autonomous Vehicle | Zheng, Han; ma, xihan; Kong, Weiwei | A Fast and Accurate Collision Detection Method During Automated Valet Parking for Autonomous Vehicle in Narrow Space |
| 706 | CAV01 | 0C | 25 | 11.00-12.00 | Connected Autonomous Vehicle | Yang, Peng; Jin, Xufeng; Hu, Yonghui; Wang, Yibing; Zhao, Mingming | Coordinated Control of Internal Boundaries and Signal Timing at An Isolated Intersection for Lane-free Traffic of CAVs |
| 715 | CAV01 | 0C | 25 | 11.00-12.00 | Connected Autonomous Vehicle | Chaanine, Tommy; Ferrando, Angelo; Pasquale, Cecilia Caterina; Pastore, Vito Paolo; Sadeghi Garjan, Mahyar; Siri, Silvia | A control-oriented highway traffic model with multiple clusters of CAVs |
| 707 | CAV01 | 0C | 25 | 11.00-12.00 | Connected Autonomous Vehicle | Davoodi, Ali; Wallace, Mark; Harabor, Daniel; Ngoduy, Dong | Optimal Routing for Autonomous Vehicles in a Mixed Congested Network Considering Fairness |
| 1581 | CAV02 | 0C | 25 | 12.00-13.00 | Connected Autonomous Vehicle | Chang, Entao; Fu, Jiawei; Zong, Ziqi; Chen, Shitao; Xin, Jingmin; Zheng, Nanning | A Multi-Stage Trajectory Planning System for Autonomous Vehicle in Mixture Scenarios |
| 1631 | CAV02 | 0C | 25 | 12.00-13.00 | Connected Autonomous Vehicle | Wang, Runsheng; Zhang, Songyi; Fu, Jiawei; Chen, Shitao; Xin, Jingmin; Zheng, Nanning | Vehicle-Centered Global Path Generation for Autonomous Vehicle |
| 1328 | CAV02 | 0C | 25 | 12.00-13.00 | Connected Autonomous Vehicle | chen, linbin; Liu, Yafei; Sun, Zhanbo; yang, lei | Path Tracking Control for Connected Automated Vehicle Using Lateral Stability Envelope at Handling Limits |
| 925 | CAV02 | 0C | 25 | 12.00-13.00 | Connected Autonomous Vehicle | Zhong, Yuanxin; Peng, Huei | Driving with caution about fully occluded areas based on occupancy maps |
| 394 | CAV03 | 0C | 25 | 17.00-18.00 | Connected Autonomous Vehicle | Xhoxhi, Edmir | Application-Oriented Resource Orchestration Algorithm for Connected Vehicles |
| 432 | CAV03 | 0C | 25 | 17.00-18.00 | Connected Autonomous Vehicle | Ning, Pengfei; Wang, Hongwei; Tang, Tao; Zhu, Li; Shuomei, Ma | AoI-driven Cluster-based Spectrum Sharing in Internet of Construction Equipment with Multi-Agent Reinforcement Learning |
| 129 | CAV03 | 0C | 25 | 17.00-18.00 | Connected Autonomous Vehicle | Schiegg, Florian Alexander; Rueeck, Anna-Lisa; Gamerdinger, Jörg; Tchouankem, Hugues; Xhoxhi, Edmir; Volk, Georg | Accounting for the Special Role of Infrastructure-assisted Collective Perception |
| 1439 | CAV03 | 0C | 25 | 17.00-18.00 | Connected Autonomous Vehicle | Idoudi, Hassan; Ameli, Mostafa; nguyen-van-phu, cyril; ZARGAYOUNA, Mahdi; rachedi, abderrezak | Streamlining Disaster Response: A Benchmark Study on Population Evacuation Planning with Telecommunication Network |
| 427 | CAV04 | 5H | 26 | 17.00-18.00 | Connected Autonomous Vehicle | Zhong, Hao; Wang, Ling; MA, Wanjing | A Semi-Distributed Influence-Aware Clustering Algorithm for Enhancing Traffic Safety in VANETs |
| 1099 | CAV04 | 5H | 26 | 17.00-18.00 | Connected Autonomous Vehicle | Liu, Ziqi; Feng, Weiyang; Liu, Yu; Wang, Xiaoli; Lin, Siyu | Demand-based Target Selection and Resource Trade for Parked-Vehicle Assisted Computing |
| 25 | CAV04 | 5H | 26 | 17.00-18.00 | Connected Autonomous Vehicle | Ye, Lei; Li, Jianzhong; Zeng, Lingqiu; Han, Qingwen; Liu, Enhao | 3D Channel Model Parameters Optimizing For C-V2X Communication Scenarios With K-Means++ And Genetic Algorithm |
| 820 | CAV04 | 5H | 26 | 17.00-18.00 | Connected Autonomous Vehicle | Lobo, Silas; Barbosa da Silva, Leonardo; Facchi, Christian | To Cluster or not to Cluster: A VRU Clustering Based on V2X Communication |
| 1519 | CL01 | 5G | 28 | 8.00-9.30 | Computing Infrastructure | Itsuji, Hiroaki; Uezono, Takumi; Toba, Tadanobu; Kundu, Subrata | An Intelligent Diagnostic Technique for Reliable Operation of Edge AI |
| 1013 | CL01 | 5G | 28 | 8.00-9.30 | Computing Infrastructure | Lampe, Bastian; Reiher, Lennart; Zanger, Lukas; Woopen, Timo; van Kempen, Raphael; Eckstein, Lutz | RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS |
| 532 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Feng, Yongwei; Hu, Jia; Zhou, Cheng; Zeng, Juncheng; Liu, Tangzhi; Wang, Haoran | Infrastructure-Enabled Traffic Speed Harmonization Under Partially Connected Environment |
| 130 | CL01 | 5G | 28 | 8.00-9.30 | Computing Infrastructure | Tong, Wei; Dong, Zesong; Li, Jian | Interoperability Solution for Blockchain-Based Internet of Vehicles Driven by Multiple Oracles |
| 545 | CON01 | 0B | 28 | 8.00-9.30 | Simulation and Control | Jing, Junbo; Jingxuan Liu, Jingxuan; Huang, Chunan; Kolaric, Patrik; qu, shen; Wang, Lei | A practical MPC method for autonomous driving longitudinal dynamic control’s real-world challenges |
| 1064 | CON01 | 0B | 28 | 8.00-9.30 | Simulation and Control | Dang, Ni; Shi, Tao; Zhang, Zengjie; Jin, Wanxin; Leibold, Marion; Buss, Martin | Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning |
| 222 | CON01 | 0B | 28 | 8.00-9.30 | Simulation and Control | Gong, Wenwu; Huang, Zhejun; Yang, Lili | LSPTD: Low-rank and spatiotemporal priors enhanced Tucker decomposition for internet traffic data imputation |
| 1670 | CON01 | 0B | 28 | 8.00-9.30 | Simulation and Control | Ukyo, Riki; Amano, Tatsuya; Hamada, Rizk; Yamaguchi, Hirozumi | Pedestrian Tracking using 3D LiDARs – Case for Proximity Scenario |
| 642 | CON01 | 0B | 28 | 8.00-9.30 | Simulation and Control | Fayed, Lynn; Nilsson, Gustav; Geroliminis, Nikolas | A macroscopic modelling framework for the dynamic pricing of pool ride-splitting vehicles in bus lanes |
| 973 | CON01 | 0B | 28 | 8.00-9.30 | Simulation and Control | Wei, Yaxin; Ning, Haijing; Chen Rumeng, Rumeng; Xiao, Yukun; An, Yisheng | A Novel Approach to Conflict-free Vehicle Scheduling of Unsignalized Intersection based on Heuristic Algorithm |
| 1370 | CON02 | 0B | 28 | 10.00-11.00 | Simulation and Control | Cheng, Cheng; Wang, Wei; Weihong, Shi; Li, Xinghua | A Lane-use and Signal Optimization Model for Mixed Traffic Isolated Intersection Considering Dedicated Autonomous Vehicle Lane and Protected Phase: A Genetic Algorithm Approach |
| 778 | CON02 | 0B | 28 | 10.00-11.00 | Simulation and Control | Cheng, Ken | GC-INF: A Novel Adaptive Traffic Control System using Machine Learning for Turning Ratio Predictions |
| 1311 | CON02 | 0B | 28 | 10.00-11.00 | Simulation and Control | Fahmy, Ahmed H.; CHAWA, Marwan; Almehio, Yasser | Parametrizable Model for Thermal Behavior Estimation and Control of LED Automotive Headlamps using Reinforcement Learning |
| 989 | CON02 | 0B | 28 | 10.00-11.00 | Simulation and Control | Koliai, Anis; Bazeille, Stephane; Basset, Michel; Orjuela, Rodolfo | How does the Definition of Tracking Errors Affect the Behavior of Vehicle Lateral Control? |
| 606 | CON03 | 0B | 28 | 11.00-12.30 | Simulation and Control | Dai, Rui; Liu, Wenjun; Bing, Zhenshan; Knoll, Alois | Variable Weight Model Predictive Contour Control for Autonomous Tracking Based on Reinforcement Learning and Nonlinear Disturbance Observer |
| 1019 | CON03 | 0B | 28 | 11.00-12.30 | Simulation and Control | Fiedler, David; Mrkos, Jan | Large-scale Ridesharing DARP Instances Based on Real Travel Demand |
| 1575 | CON03 | 0B | 28 | 11.00-12.30 | Simulation and Control | Ascher, Dominik | Model-based Design of Integrated Transportation Systems Using Approximate Dynamic Programming |
| 366 | CON03 | 0B | 28 | 11.00-12.30 | Simulation and Control | Liu, YeCheng; chen, xu; Xu, Yongxin | Accelerating Model Solving for Integrated Optimization of Timetabling and Vehicle Scheduling based on Graph Convolutional Network |
| 281 | CON03 | 0B | 28 | 11.00-12.30 | Simulation and Control | Lin, Shichao; Xu, Jingwen; Zheng, Chenhao; Yang, Dakai; Ruan, Sheng; Li, Ruimin | Effects of Dynamic User-optimal Routing on Network-level Signal Predictive Control |
| 557 | CON03 | 0B | 28 | 11.00-12.30 | Simulation and Control | Li, Xiaocan; Mercurius, Ray Coden; Taitler, Ayal; Wang, Xiaoyu; Noaeen, Mohhamad; Scott Patrick Sanner, Scott; Abdulhai, Baher | Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization |
| 1327 | CTS01 | 0D | 25 | 14.00-15.30 | Cooperative systems | Zhao, Zhiguo; Li, Yong; Chen, Yunli; Zhang, Xiaoting; Tian, Rui | A Spatial Alignment Framework Using Geolocation Cues for Roadside Multi-View Multi-Sensor Fusion |
| 500 | CTS01 | 0D | 25 | 14.00-15.30 | Cooperative systems | Strohbeck, Jan; Maschke, Sebastian; Mertens, Max Bastian; Buchholz, Michael | Graph-based Trajectory Prediction with Cooperative Information |
| 1005 | CTS01 | 0D | 25 | 14.00-15.30 | Cooperative systems | Saidi, lyes, saidi lyes; TALJ, Reine; Adouane, Lounis | On-ramp Merging on Highway for Cooperative Automated Vehiclesbased on an Online Reconfigurable Formation Control Approach |
| 1601 | CTS01 | 0D | 25 | 14.00-15.30 | Cooperative systems | Wang, Shuyuan | Velocity Planning for Multi-Vehicle Systems via Distributed Optimization |
| 1353 | CTS01 | 0D | 25 | 14.00-15.30 | Cooperative systems | Yang, Xinwei; Lefeber, Erjen; WU, Chaozhong; HE, Yi; Zheng, Zhiwen | Adaptive Controller Design for Heterogeneous Cooperative Adaptive Cruise Control System with Uncertain Vehicle Parameters |
| 1250 | CTS01 | 0D | 25 | 14.00-15.30 | Cooperative systems | Narri, Vandana; Alanwar, Amr; Mårtensson, Jonas; Norén, Christoffer; Johansson, Karl H. | Shared Situational Awareness with V2X Communication and Set-membership Estimation |
| 1074 | CYB01 | 3B | 28 | 8.00-9.30 | Cybersecurity | Wang, Yuanzhe; Zhao, Chunyang; Wang, Haoyi; Zhang, Jun; Wang, Danwei | Secure Localization of Autonomous Articulated Vehicles: Attack Detection and Recovery |
| 1621 | CYB01 | 3B | 28 | 8.00-9.30 | Cybersecurity | Jackson, Elanor; Sedigh Sarvestani, Sahra; King, Justin; Hurson, Ali R. | Agent-Based Modeling for Analysis of Cyber Attacks on the Intelligent Transportation System |
| 1055 | CYB01 | 3B | 28 | 8.00-9.30 | Cybersecurity | Xu, Jia; Yao, Shengyue; Yu, Yi; Wang, Fei-Yue; Lin, Yilun | DeMaaS: Efficient Service Distribution for MaaS via Decentralized Collaboration and Optimization |
| 208 | CYB01 | 3B | 28 | 8.00-9.30 | Cybersecurity | De Vincenzi, Marco; Bodei, Chiara; Costantino, Gianpiero; Matteucci, Ilaria; Monreale, Anna | Data collection in automotive: a deep analysis of carmakers’ mobile app privacy policies |
| 1086 | CYB01 | 3B | 28 | 8.00-9.30 | Cybersecurity | Wen, Xiamei; Krishnakumari, Panchamy; Hoogendoorn, Serge | A Data Protection Method for Short-term Traffic Prediction with Applications to Network Active Mode Operations |
| 717 | CYB01 | 3B | 28 | 8.00-9.30 | Cybersecurity | Grimm, Daniel; Lautenbach, Aljoscha; Almgren, Magnus; Olovsson, Tomas; Sax, Eric | Gap analysis of ISO/SAE 21434 Improving the automotive cybersecurity engineering life cycle |
| 1335 | DAS01 | 0D | 25 | 15.30-16.30 | Driver Assistance Systems | Li, Yaqiu; Zhang, Junyi; Lu, Yunpeng | Nudging Drivers towards Utilizing Driver Tracking: Application of Behavioral Interventions Architecture |
| 610 | DAS01 | 0D | 25 | 15.30-16.30 | Driver Assistance Systems | Monninger, Thomas; Weber, Andreas Silvius; Staab, Steffen | Semantic Map Learning of Traffic Light to Lane Assignment based on Motion Data |
| 1021 | DAS01 | 0D | 25 | 15.30-16.30 | Driver Assistance Systems | Trinci, Tomaso; Bianconcini, Tommaso; Sarti, Leonardo; Taccari, Leonardo; Sambo, Francesco | Cross-model temporal cooperation via saliency maps for efficient recognition and classification of relevant traffic lights |
| 156 | DAS01 | 0D | 25 | 15.30-16.30 | Driver Assistance Systems | Hsieh, Feng-An; Lin, Huei-Yung; Wang, Chieh-Chih | An End-To-End System For Road Agent Behavior Classification |
| 406 | DAS02 | 0D | 25 | 17.00-18.00 | Driver Assistance Systems | Liu, Yuying; Du, Shaoyi; Guo, Qinbo; Zhao, Zhiyue; Tian, Zhiqiang; Zheng, Nanning | Structure Consistent Unsupervised Domain Adaptation for Driver Behavior Recognition |
| 297 | DAS02 | 0D | 25 | 17.00-18.00 | Driver Assistance Systems | Eisemann, Leon; Maucher, Johannes | Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds |
| 72 | DAS02 | 0D | 25 | 17.00-18.00 | Driver Assistance Systems | Zhao, Nanbin; Wang, Xinran; Wang, Bohui; Zhang, Jialu; Lu, Yun; Su, Rong | A Lane Change Assisting Framework for Large Vehicles |
| 1332 | DAS02 | 0D | 25 | 17.00-18.00 | Driver Assistance Systems | Fang, Ruiqi; liang, jinhao; Yin, Guodong; Li, Ang; Li, Xinxiu; Lu, Yanbo | An Innovative Robust $mathcal{H}_infty$ Adaptive Cruise Control Method with Input Constraint Considering Tire-road Friction Coefficient |
| 210 | DAS03 | 0A | 28 | 8.00-9.30 | Driver Assistance Systems | Ucar, Seyhan; Mercer, Ryan; Keogh, Eamonn | Tailgating Behavior Detection On Rear Vehicles |
| 972 | DAS03 | 0A | 28 | 8.00-9.30 | Driver Assistance Systems | Eggert, Julian; Kreutz, Karsten; Gaumann, Lina; Adamy, Jürgen | How do Drivers Take a Curve? The Comfort Factor Model (CFM) |
| 1166 | DAS03 | 0A | 28 | 8.00-9.30 | Driver Assistance Systems | Nambata, Masaki; Shimomura, Kota; Hirakawa, Tsubasa; Yamashita, Takayoshi; Fujiyoshi, Hironobu | Human-like Guidance with Gaze Estimation and Classification-based Text Generation |
| 1282 | DAS03 | 0A | 28 | 8.00-9.30 | Driver Assistance Systems | Ulmen, Jonas; Wellstein, Marc; Mark, Christoph; SUNDARAM, GANESH; Görges, Daniel; Reich, Jan | Stochastic MPC with Bayesian Network Risk Allocation for Autonomous Driving |
| 1380 | DAS03 | 0A | 28 | 8.00-9.30 | Driver Assistance Systems | Nadarajan, Parthasarathy; Botsch, Michael; Sardina, Sebastian | Continuous Probabilistic Motion Prediction based on Latent Space Interpolation |
| 1424 | DAS03 | 0A | 28 | 8.00-9.30 | Driver Assistance Systems | Balasubramanian, Lakshman; Wurst, Jonas; Egolf, Robin; Botsch, Michael; Utschick, Wolfgang; DENG, KE | SceneDiffusion: Conditioned Latent Diffusion Models for Traffic Scene Prediction |
| 319 | DAS04 | 0A | 28 | 10.00-11.30 | Driver Assistance Systems | Chen, Kehua; CHEN, Xianda; Zhu, Meixin; Yang, Hai; YU, Zihan | EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction |
| 662 | DAS04 | 0A | 28 | 10.00-11.30 | Driver Assistance Systems | Awathe, Arpit; Varunjikar, Tejas | Closed-Loop Modeling of a Quintic Trajectory Planning and PID Motion Control System |
| 180 | DAS04 | 0A | 28 | 10.00-11.30 | Driver Assistance Systems | Gao, Feng; Hu, Qiuxia; Zhan, Guanglun | A Low-dimensional Optimization Method for High-performance Parallel Parking Path Planning |
| 197 | DAS04 | 0A | 28 | 10.00-11.30 | Driver Assistance Systems | Scheerer, Kay; Michalke, Thomas Paul; Mathes, Jürgen | The WayHome: Long-term Motion Prediction on Dynamically Scaled Grids |
| 1185 | DAS04 | 0A | 28 | 10.00-11.30 | Driver Assistance Systems | Farid, Yashar; Oguchi, Kentaro | Damping Periodic Stop-and-go Waves in Connected Vehicle Environments |
| 388 | DAS04 | 0A | 28 | 10.00-11.30 | Driver Assistance Systems | Hamieh, Salam; HEIRIES, Vincent; Al Osman, Hussein; Godin, Christelle; Aloui, Saifeddine | Driver Visual Distraction Detection Using Unsupervised Learning Techniques |
| 920 | DAS05 | 0A | 28 | 11.30-12.30 | Driver Assistance Systems | Hamdan, Alex; TALJ, Reine; Cherfaoui, Véronique | Design and Comparison of Two Advanced Driving Assistance Systems for the Lane Keeping in Intelligent Vehicles, based on LPV/H_infinity and Super-Twisting Sliding Mode (STSM) Control Techniques |
| 1445 | DAS05 | 0A | 28 | 11.30-12.30 | Driver Assistance Systems | Lim, Jaebong; Lee, Sanghwa; Kim, Taegu; Shin, Kihun; Baek, Yunju | Open-Set Driver Identification System Based on Metric Learning with Driving Situation Awareness |
| 1571 | DAS05 | 0A | 28 | 11.30-12.30 | Driver Assistance Systems | Zhao, Zhouqiao; Liao, Xishun; Abdelraouf, Amr; Han, Kyungtae; Gupta, Rohit; Barth, Matthew; Wu, Guoyuan | Inverse Reinforcement Learning and Gaussian Process Regression-based Real-time Framework for Personalized Adaptive Cruise Control |
| 160 | DAS05 | 0A | 28 | 11.30-12.30 | Driver Assistance Systems | Kumar, Manoranjan; Löwe, Welf; cramsky, joel; Danielsson, Per-Olof | Driving pattern classification for wheel loaders in different materialhandling using machine learning |
| 1264 | DL01 | 0E | 26 | 11.30-13.00 | Data Mining: Deep Learning | Yan, Guozhi; Liu, Kai; Hu, Junbo; Jin, Feiyu; Zhang, Hao | A Fine-grained Vehicle Behavior Recognition Framework: Struct Segment Temporal Convolutional Network |
| 1421 | DL01 | 0E | 26 | 11.30-13.00 | Data Mining: Deep Learning | Regikumar, Rohith; Kasthurirajan, Priyanga; Ramanujam, Arvind; Jayaprakash, Rajesh | TrainChaiNN – A Train Delay Prediction Model Using Chained Adversarial Neural Networks |
| 250 | DL01 | 0E | 26 | 11.30-13.00 | Data Mining: Deep Learning | Pang, Haoyuan; Wang, Qiang; Xu, Chen | Dynamic Self-Mutual Correlated Graph Convolutional Network for Traffic Prediction |
| 1126 | DL01 | 0E | 26 | 11.30-13.00 | Data Mining: Deep Learning | Liu, Jing; xu, xinyue; Zhang, Anzhong; Ye, Hongxia | An Age Attribute Inference Method for Urban Rail Transit Passengers based on Deep Learning |
| 413 | DL01 | 0E | 26 | 11.30-13.00 | Data Mining: Deep Learning | Ku, Yixuan; Wang, Yixuan; liu, qi; Peng, Lei; Yang, Yang | TEDGCN: Asymmetric Spatiotemporal GNN for Heterogeneous Traffic Prediction |
| 1448 | DL01 | 0E | 26 | 11.30-13.00 | Data Mining: Deep Learning | Samadi, Amir; Alipour Sormoli, Mohammadreza; Mozaffari, Sajjad; Koufos, Konstantinos; Dianati, Mehrdad; Woodman, Roger | A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field |
| 1368 | DL02 | 0E | 26 | 15.00-16.30 | Data Mining: Deep Learning | Löwens, Christian; Thyssens, Daniela; Andersson, Emma; Jenkins, Christina; Schmidt-Thieme, Lars | DeepStay: Stay Region Extraction from Location Trajectories using Weak Supervision |
| 1463 | DL02 | 0E | 26 | 15.00-16.30 | Data Mining: Deep Learning | Bhuyan, Zubin; Chen, Qilei; Xie, Yuanchang; Cao, Yu; Liu, Benyuan | Modeling the Risk of Truck Rollover Crashes on Highway Ramps Using Drone Video Data and Mask-RCNN |
| 194 | DL02 | 0E | 26 | 15.00-16.30 | Data Mining: Deep Learning | Farhadi, Farzaneh; Palacin, Roberto; Blythe, Phil | Forecasting the Impact of Electric Vehicle Adoption on CO2 Emissions using Machine Learning and Time Series Methods |
| 727 | DL02 | 0E | 26 | 15.00-16.30 | Data Mining: Deep Learning | Cherrier, Noëlie; Rérolle, Baptiste; Graive, Martin; Dib, Amir; Schmitt, Eglantine | Context-Aware Automated Passenger Counting Data Denoising |
| 805 | DL02 | 0E | 26 | 15.00-16.30 | Data Mining: Deep Learning | Zheng, Liyong; Rao, Hongyu; Pu, Shiliang; Jiang, Weihao; Hao, Yonggang; Li, Wenjing; Shao, Jianxuan; Su, Bin; Wang, Saisai; Zhao, Wei; Xie, Yijue; Zhang, Wei | Traffic State Identification Based on Graph Neural Networks: Taking Tidal Traffic as an Example |
| 773 | DL02 | 0E | 26 | 15.00-16.30 | Data Mining: Deep Learning | Abdelraouf, Amr; Gupta, Rohit; Han, Kyungtae | Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks |
| 783 | DL03 | 0E | 26 | 17.00-18.00 | Data Mining: Deep Learning | Li, Haoran; Lu, Yunpeng; Zheng, Sifa; SUN, CHUAN; Zhang, Chuang | Analysis of Naturalistic Driving Behavior for Personalized Autonomous Vehicle |
| 496 | DL03 | 0E | 26 | 17.00-18.00 | Data Mining: Deep Learning | Zheng, Zhipeng; Ye, Yongchao; Zhu, Yuanshao; Zhang, Shiyao; Yu, James J.Q. | Data-Driven Methods for Travel Time Estimation: A Survey |
| 880 | DL03 | 0E | 26 | 17.00-18.00 | Data Mining: Deep Learning | Bang, Geonkyu; Lee, Jinho; Endo, Yuki; Nishimori, Toshiaki; Nakao, Kenta; Kamijo, Shunsuke | Semantic Attention-guided Day-to-Night Image Translation Network |
| 537 | DL03 | 0E | 26 | 17.00-18.00 | Data Mining: Deep Learning | Wang, Yixuan; Ku, Yixuan; liu, qi; Yang, Yang; Peng, Lei | Large-scale parking data prediction: from a graph coarsening perspective |
| 694 | DL04 | 5A | 27 | 12.00-13.00 | Data Mining: Deep Learning | Teufel, Sven; Gamerdinger, Jörg; Volk, Georg; Bringmann, Oliver | Collective PV-RCNN: A Novel Fusion Technique using Collective Detections for Enhanced Local LiDAR-Based Perception |
| 295 | DL04 | 5A | 27 | 12.00-13.00 | Data Mining: Deep Learning | Gan, Chong-Xin; Mak, Man-Wai; Ho, Ivan; Lee, Wing Chi | Deep Segment-Attentive Network for Altered-Engine Recognition |
| 635 | DL04 | 5A | 27 | 12.00-13.00 | Data Mining: Deep Learning | DIB, Abdelkader; SCIARRETTA, Antonio; Balac, Milos | A Two-Stage Deep Learning Based Approach for Predicting Instantaneous Vehicle Speed Profiles on Road Networks |
| 928 | DL04 | 5A | 27 | 12.00-13.00 | Data Mining: Deep Learning | GHOSH, BANISHREE; Dauwels, Justin | A Data-driven Approach to Estimate and Predict the Traffic Incidents’ Queue Length |
| 541 | DMDA01 | 5A | 26 | 10.00-11.30 | Data mining and Data Analysis | Stage, Hanno; Ewecker, Lukas; Langner, Jacob; Sohn, Tin Stribor; Villmann, Thomas; Sax, Eric | Reducing Computer Vision Dataset Size via Selective Sampling |
| 1418 | DMDA01 | 5A | 26 | 10.00-11.30 | Data mining and Data Analysis | Tang, Yun; Bruto da Costa, Antonio Anastasio; Zhang, Xizhe; Irvine, Patrick; Khastgir, Siddartha; Jennings, Paul | Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain |
| 1443 | DMDA01 | 5A | 26 | 10.00-11.30 | Data mining and Data Analysis | Muhammad, Akilu Rilwan; Aguiar, Ana; Mendes-Moreira, João | Inferring Transportation Mode using pooled features from time and frequency domains |
| 683 | DMDA01 | 5A | 26 | 10.00-11.30 | Data mining and Data Analysis | de Moura Martins Gomes, Nelson; Nashashibi, Fawzi | Extraction of vehicle behaviors at intersections |
| 1481 | DMDA01 | 5A | 26 | 10.00-11.30 | Data mining and Data Analysis | Dias Carneiro, Eduardo Leandro; Fontes, Tânia; Rossetti, Rosaldo | Enhancing decision-making in transportation management: A comparative study of text classification models |
| 392 | DMDA01 | 5A | 26 | 10.00-11.30 | Data mining and Data Analysis | Jiao, Yiru; Calvert, Simeon Craig; van Cranenburgh, Sander; van Lint, Hans | Identifying Vehicle Interaction at Urban Intersections: A Comparison of Proximity Resistance, Time-to-Collision, and Post-Encroachment-Time |
| 1286 | DMDA02 | 5A | 26 | 11.30-13.00 | Data mining and Data Analysis | Chakraborty, Manojit; Gupta, Rishabh | RECIPE: A Vehicle RECall Incident PrEdiction Method |
| 386 | DMDA02 | 5A | 26 | 11.30-13.00 | Data mining and Data Analysis | Cai, Yi; Su, Shuai | Research on the Named Entity Recognition for Rail Fault Text Based on Distant Supervision |
| 376 | DMDA02 | 5A | 26 | 11.30-13.00 | Data mining and Data Analysis | Yao, Yue; Goehring, Daniel; Reichardt, Joerg | An Empirical Bayes Analysis of Object Trajectory Representation Models |
| 1038 | DMDA02 | 5A | 26 | 11.30-13.00 | Data mining and Data Analysis | Schicktanz, Clemens; Klitzke, Lars; Gimm, Kay | Microscopic Analysis of the Impact of Congestion on Traffic Safety and Efficiency at a Signalized Intersection: A Case Study |
| 234 | DMDA02 | 5A | 26 | 11.30-13.00 | Data mining and Data Analysis | Lyu, Cheng; Lu, Qing-Long; Wu, Xinhua; Antoniou, Constantinos | Robust two-stage transport data imputation with changepoint detection and Tucker decomposition |
| 1504 | DMDA02 | 5A | 26 | 11.30-13.00 | Data mining and Data Analysis | Souza, Marcos Aurelio; Lucena, Sidney C.; Campos, Carlos A. V.; Domingues, Guilherme | Evaluating the influence of events on mobility-based data communities |
| 1204 | DMDA03 | 5A | 26 | 15.00-16.30 | Data mining and Data Analysis | Qasemi, Ehsan; Francis, Jonathan; Oltramari, Alessandro | Traffic-Domain Video Question Answering with Automatic Captioning |
| 578 | DMDA03 | 5A | 26 | 15.00-16.30 | Data mining and Data Analysis | Heidecker, Florian; Susetzky, Tobias; Fuchs, Erich; Sick, Bernhard | Context Information for Corner Case Detection in Highly Automated Driving |
| 996 | DMDA03 | 5A | 26 | 15.00-16.30 | Data mining and Data Analysis | Gundlegård, David; Fermergård Grumert, Ellen | Clustering in Before-After Studies of ITS Measures |
| 983 | DMDA03 | 5A | 26 | 15.00-16.30 | Data mining and Data Analysis | Fukasawa, Yuta; Yokoi, Yuho; Yamada, Kota; Sasai, Takeyuki; Fukushima, Shintaro | Finding Energy-Efficient and Fast Detour Routes in Unusual Traffic Events |
| 1384 | DMDA03 | 5A | 26 | 15.00-16.30 | Data mining and Data Analysis | Qin, Wenwen; Zhang, Mingfeng; Li, Huan; Gu, Jinjing | Incomplete trajectory recovery for supporting urban link travel time distribution considering spatial-temporal correlation |
| 699 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | NGO, Ha Nhi; Kaddoum, Elsy; Cebecauer, Matej; Jenelius, Erik; Goursolle, Anaïs | Considering Multi-Scale Data for Continuous Traffic Prediction using Adaptive Multi-Agent System |
| 1663 | DMDA04 | 5H | 28 | 8.00-9.30 | Data mining and Data Analysis | Sun, Zhanbo; Dai, Jin; Zhao, Yu; Ji, Ang; Zhang, Chao | A traffic flow forecasting model using graph convolutional recurrent neural networks with incomplete data |
| 1032 | DMDA04 | 5H | 28 | 8.00-9.30 | Data mining and Data Analysis | Wang, Yanbing; Ji, Junyi; Barbour, William; Work, Daniel | Online Min Cost Circulation for Multi-Object Tracking on Fragments |
| 1629 | DMDA04 | 5H | 28 | 8.00-9.30 | Data mining and Data Analysis | Fleck, Tobias; Zipfl, Maximilian; Zöllner, J. Marius | Semi-Automatic Ground Truth Trajectory Estimation and Smoothing using Roadside Cameras |
| 1081 | DMDA04 | 5H | 28 | 8.00-9.30 | Data mining and Data Analysis | Berger, Christian; Cabrero-Daniel, Beatriz; Kaya, M. Cagri; Esmaeili Darestani, Maryam; Shiels, Hannah | Systematic Evaluation of Applying Space-Filling Curves to Automotive Maneuver Detection |
| 536 | DMDA04 | 5H | 28 | 8.00-9.30 | Data mining and Data Analysis | Wang, Zepu; Sun, Yifei; Lei, Zhiyu; Zhu, Xincheng | SST: A Simplified Swin Transformer-based Model for Taxi Destination Prediction based on Existing Trajectory |
| 415 | DMDA05 | 5H | 28 | 10.00-11.30 | Data mining and Data Analysis | Baowen, Xu; Xuelei, Wang; Chengbao, Liu; Shuo, Li; Jingwei, Li | Spatio-Temporal Transformer with Clustering and Dilated Attention for Traffic Prediction |
| 877 | DMDA05 | 5H | 28 | 10.00-11.30 | Data mining and Data Analysis | Zhao, Nanbin; Zhang, Jialu; Wang, Bohui; Lu, Yun; Zhang, Kun; Su, Rong | A Data-Driven Long-Term Prediction Method of Mandatory and Discretionary Lane Change Based on Transformer |
| 629 | DMDA05 | 5H | 28 | 10.00-11.30 | Data mining and Data Analysis | Arman, Mohammad Ali; Tampere, Chris | Accurate Segment Travel Time Estimation Based on Individual Vehicle Data |
| 774 | DMDA05 | 5H | 28 | 10.00-11.30 | Data mining and Data Analysis | Nick Zinat Matin, Hossein; Do, Dawson; Delle Monache, Maria Laura | Nonlinear Advection-Diffusion Models of Traffic Flow: a Numerical Study |
| 1107 | POSTER | HALL | 26 | 15.00-16.30 | Poster Session 2 | wang, min; Liu, Huan; He, Jing; An, Chengchuan; Xia, Jingxin; Lu, zhenbo | Bayesian Network Learning Framework for Travel Mode Identification Based on Cellular Signaling Data |
| 148 | DMDA05 | 5H | 28 | 10.00-11.30 | Data mining and Data Analysis | Li, Xiaoming; Normandin-Taillon, Hubert; Wang, Chun; Huang, Xiao | Demand Density Forecasting in Mobility-on-Demand Systems through Recurrent Mixture Density Networks |
| 147 | DMDA06 | 5H | 28 | 11.30-12.30 | Data mining and Data Analysis | Xiangli, Ying; Xu, Jie; Zhang, Hui | Modelling and simulation of pedestrian self-evacuation in Pedestrian Mall |
| 1566 | DMDA06 | 5H | 28 | 11.30-12.30 | Data mining and Data Analysis | Nishimoto, Takashi; Yamaguchi, Takuma; Okuda, Hiroyuki; Suzuki, Tatsuya; Wakisaka, Ryo; Ban, Kazunori | Bayesian Network Model of Decision-Making for Pedestrians’ Crossing Behavior Considering Gaze Information at Unsignalized Intersection |
| 592 | DMDA06 | 5H | 28 | 11.30-12.30 | Data mining and Data Analysis | Ma, Lin; Chen, Longrui; Zhang, Yan; Chu, Mengdi; Jiang, Wenjie; Shen, Jiahao; Li, Chuxuan; Shi, Yifeng; Luo, Nairui; Yuan, Jirui; Chen, Yilun; ZHOU, Guyue; Gong, Jiangtao | Evaluation of Pedestrian Safety in a High-Fidelity Simulation Environment Framework |
| 289 | DMDA06 | 5H | 28 | 11.30-12.30 | Data mining and Data Analysis | Zhang, Cheng; Du, Bo; Shen, Jun | Movement Patterns of Pedestrians and Cyclists at Signalized Segregated Crosswalks: A Case Study in Nanjing, China |
| 915 | DMDA07 | 5B | 28 | 8.00-9.30 | Data mining and Data Analysis | Schumann, Oliver; Buchholz, Michael; Dietmayer, Klaus | Efficient Path Planning in Large Unknown Environments with Switchable System Models for Automated Vehicles |
| 240 | DMDA07 | 5B | 28 | 8.00-9.30 | Data mining and Data Analysis | Huang, Chao; Yang, Bo; Nakano, Kimihiko | Learning From Drivers Patterns of Evasive Maneuvers in Case of Emergency Using Dynamic-Time-Warping-Based Clustering |
| 1167 | DMDA07 | 5B | 28 | 8.00-9.30 | Data mining and Data Analysis | Morales-Alvarez, Walter; Certad, Novel; Roitberg, Alina; Stiefelhagen, Rainer; Olaverri-Monreal, Cristina | On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars |
| 523 | DMDA07 | 5B | 28 | 8.00-9.30 | Data mining and Data Analysis | Choi, Youngsoo; Yun, Yongmun; Jeon, Woo-Jeong; Kong, Seung-Hyun | A Novel Approach for Estimating Vehicle Speed in Nighttime Traffic Accidents from Daytime Video Information |
| 663 | DMDA07 | 5B | 28 | 8.00-9.30 | Data mining and Data Analysis | Sun, Jiankai; Kousik, Shreyas; Fridovich-Keil, David; Schwager, Mac | Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure |
| 1303 | DMDA07 | 5B | 28 | 8.00-9.30 | Data mining and Data Analysis | Ye, Zhenhao; Li, Yanlong; Cui, Zhichao; Liu, Yuehu; Li, Li; Wang, Le; Zhang, Chi | Unsupervised Video Anomaly Detection with Self-Attention based Feature Aggregating |
| 337 | DMDA08 | 5B | 28 | 11.00-12.30 | Data mining and Data Analysis | Golchoubian, Mahsa; Ghafurian, Moojan; Dautenhahn, Kerstin; L. Azad, Nasser | Polar Collision Grids: Effective Interaction Modelling for Pedestrian Trajectory Prediction in Shared Space Using Collision Checks |
| 390 | DMDA08 | 5B | 28 | 11.00-12.30 | Data mining and Data Analysis | González de Cossío, Francisco; Sabiron, Guillaume | A Robust Approach for Identifying Transportation Mode using Smartphone-Based GPS Sensors and Road Network Information |
| 447 | DMDA08 | 5B | 28 | 11.00-12.30 | Data mining and Data Analysis | Wu, Aotian; Banerjee, Tania; Chen, Ke; Rangarajan, Anand; Ranka, Sanjay | A Multi-Sensor Video/LiDAR System for Analyzing Intersection Safety |
| 299 | DMDA08 | 5B | 28 | 11.00-12.30 | Data mining and Data Analysis | Zhu, Yuanfang; Jiang, Meilan; Yamamoto, Toshiyuki | Classification of driving style in relation to risk level based on G-G diagram |
| 430 | DMDA08 | 5B | 28 | 11.00-12.30 | Data mining and Data Analysis | Liu, Yuying; Du, Shaoyi; Zhao, Shengwei; Tian, Zhiqiang; Zheng, Nanning | CenterDA: Center-Aware Unsupervised Domain Adaptation Regularized by Class Diversity for Distracted Driver Recognition |
| 400 | DMDA08 | 5B | 28 | 11.00-12.30 | Data mining and Data Analysis | Li, Xiao; He, Pan; Wu, Aotian; Ranka, Sanjay; Rangarajan, Anand | A Spatiotemporal Correspondence Approach to Unsupervised Lidar Segmentation with Traffic Applications |
| 821 | EV01 | 0A | 27 | 10:00-11:30 | Electric Vehicles | Sandel, Luca; Zardini, Gioele; Mitrova, Sofija; Thekemuriyil, Tanya; Minamisawa, Renato; Rahimo, Munaf; Censi, Andrea; Frazzoli, Emilio; Mastellone, Silvia | Enhancing Efficiency and Reliability of Electric Vehicles via Adaptive E-Gear Control |
| 740 | EV01 | 0A | 27 | 10:00-11:30 | Electric Vehicles | Brown, Nicholas; Motallebiaraghi, Farhang; Fanas, Johan; Ayantayo, Sherif; Goberville, Nicholas; Feinberg, Ben; Wang, Chieh (Ross); Ekti, Ali Riza; Meyer, Richard; Asher, Zachary D | Evaluation of Autonomous Vehicle Sensing and Compute Load on a Chassis Dynamometer |
| 1247 | EV01 | 0A | 27 | 10:00-11:30 | Electric Vehicles | Einolander, Johannes; Kiviaho, Annamari; Lahdelma, Risto | Impact of V2G, V2H and FCR to Electricity Costs of Households with Varying Primary Heating Sources |
| 789 | EV01 | 0A | 27 | 10:00-11:30 | Electric Vehicles | Rodrigues, Goncalo; Barbosa, Flávia; Schuller, Pedro; Pereira da Silva, Diogo; Pereira, João; Lopes de Azevedo, Rui Pedro; Guimaraes, Luis | Electric charging demand forecast and capture for infrastructure placement using gravity modelling: a case study |
| 907 | EV01 | 0A | 27 | 10:00-11:30 | Electric Vehicles | Loyo Mendivil, Estibaliz; Arandia Mendizabal, Iker; Cejudo, Iñaki; Irigoyen, Eider; Arregui Martiarena, Harbil | Theoretical approach of Electric Vehicle Planning considering influence factors in Battery Consumption |
| 995 | EV02 | 0A | 27 | 11:30-13:00 | Electric Vehicles | Würtz, Samuel; Niels, Tanja; Bogenberger, Klaus; Goehner, Ulrich | Impact of Inductive Charging Infrastructure at Intersections on Battery Electric Bus Operations |
| 436 | EV02 | 0A | 27 | 11:30-13:00 | Electric Vehicles | Li, Donghe; Hu, Chunlin; Yang, Qingyu; Chen, Shitao | Multi Actor-Critic PPO: A Novel Reinforcement Learning Method for Intelligent Task and Charging Scheduling in Electric Freight Vehicles Management |
| 577 | EV02 | 0A | 27 | 11:30-13:00 | Electric Vehicles | Tanwar, Dipika; Singla, Priyanka; Nag, Soham; Kumar, Vireshwar; Sarangi, Smruti R. | SmrtComp: Intelligent and Online CAN Data Compression |
| 116 | EV02 | 0A | 27 | 11:30-13:00 | Electric Vehicles | Ma, Tai-Yu; Fang, Yumeng; Connors, Richard; Viti, Francesco; Nakao, Haruko | A fast algorithm to optimize electric first-mile feeder services with charging synchronization constraints and customer rejections |
| 440 | EV02 | 0A | 27 | 11:30-13:00 | Electric Vehicles | Cokyasar, Taner; Verbas, Omer; Davatgari, Amir; Mohammadian, Abolfazl | Solving the Electric Vehicle Scheduling Problem at Large-Scale |
| 1309 | EV02 | 0A | 27 | 11:30-13:00 | Electric Vehicles | CABALLINI, CLAUDIA; Sacone, Simona; Saeednia, Mahnam | Transition to zero emissions: cooperative planning of carriers trips using electric and diesel vehicles |
| 325 | EV03 | 0A | 27 | 15.00-16.30 | Electric Vehicles | Kim, Dohee; Seo, Youngwon; Jang, HongSoon; Kang, Hyemin; Jeong, Gu-Min; Eo, Jeong Soo | Vehicle-in-the-Loop Experimental Verification of Real-Time Embedded Computation on Microcontroller for Service-Oriented Energy-Optimal Strategies of Intelligent Electric Vehicles |
| 1017 | EV03 | 0A | 27 | 15.00-16.30 | Electric Vehicles | Das, Lokesh Chandra; Dasgupta, Dipankar; Won, Myounggyu | Intelligent Adaptive Electric Vehicle Motion Control for Dynamic Wireless Charging |
| 395 | EV03 | 0A | 27 | 15.00-16.30 | Electric Vehicles | Anderson, Ryan; Harper, Mario | Save Money, Get Charged: Facility-Tied Energy Management with Unknown and Unscheduled EV Charging |
| 1002 | EV03 | 0A | 27 | 15.00-16.30 | Electric Vehicles | Ben Gharbia, Ibtihel; De Nunzio, Giovanni; SCIARRETTA, Antonio | Optimal Placement of Fast Charging Infrastructure for Electric Vehicles: an Optimal Routing and Spatial Clustering Approach |
| 1467 | EV03 | 0A | 27 | 15.00-16.30 | Electric Vehicles | Niels, Tanja; Bogenberger, Klaus | Optimized Trajectory Planning to Reduce Energy Consumption of Electric Vehicles in Autonomous Intersection Management |
| 402 | EV04 | 0A | 27 | 17.00-18.00 | Electric Vehicles | Tarhini, Fadel; TALJ, Reine; Doumiati, Moustapha | Driving Towards Energy Efficiency: A Novel Torque Allocation Strategy for In-Wheel Electric Vehicles |
| 270 | AVSS03 | 5A | 27 | 15.00-16.30 | Advanced vehicle safety | Eisele, Daniel; Bubeck, Carla Bernadette; Petzoldt, Tibor | Equipping vehicles with novel eHMIs potentially changes how pedestrians interact with vehicles without eHMIs |
| 1361 | EV04 | 0A | 27 | 17.00-18.00 | Electric Vehicles | Ehab, Silvana; Morgan, Elsayed Imam; Elguindy, Ahmed; Shehata, Omar | Hybrid Multi-Parametric Optimization for Mobility-Aware Scheduling of Electric Vehicles Charging Station |
| 1371 | EV04 | 0A | 27 | 17.00-18.00 | Electric Vehicles | Zhu, Xiaolei; Tang, Xindi; Xie, Jiaohong; Liu, Yang | Dynamic Balancing-Charging Management for Shared Autonomous Electric Vehicle Systems: A Two-Stage Learning-Based Approach |
| 1345 | EV04 | 0A | 27 | 17.00-18.00 | Electric Vehicles | Gómez-Barroso, Álvaro; Otaola, Eneko; Onieva, Enrique; Arteta, Beñat; Pérez Rastelli, Joshué; Prieto, Pablo | Fuzzy Logic Strategy for Traction Control in Parallel Hybrid Vehicles |
| 165 | EV01 | 0A | 27 | 10:00-11:30 | Electric Vehicles | Alonso Tejeda, Asier; Heriz Revuelta, Borja; Allende Marcos, Miguel; Vicente, Iban; Prieto, Pablo; Pérez Rastelli, Joshué | An optimal sizing methodology for Fuel Cell Hybrid Trucks |
| 1255 | EV03 | 0A | 27 | 15.00-16.30 | Electric Vehicles | Mi, Jiayu; Shao, Yichen; Yang, Zhongping; Huang, Xianjin; Lin, Fei; zhang, hailiang | Design of On-board Energy Storage Systems for Regenerative Braking Energy Recovery in Urban Rail Transit |
| 766 | AVSS03 | 5A | 27 | 15.00-16.30 | Advanced vehicle safety | Feng, Yan; Farah, Haneen; van Arem, Bart | Effect of eHMI on pedestrian road crossing behavior in shared spaces with Automated Vehicles |
| 1503 | EXP01 | 5B | 26 | 15.00-16.30 | Trustworthy AI for ITS | Maci, Enrik; Howard, Rhys Peter Matthew; Kunze, Lars | Generating and Explaining Corner Cases Using Learnt Probabilistic Lane Graphs |
| 9 | EXP01 | 5B | 26 | 15.00-16.30 | Trustworthy AI for ITS | Alsheeb, Khalid; Brandao, Martim | Towards Explainable Road Navigation Systems |
| 1457 | EXP01 | 5B | 26 | 15.00-16.30 | Trustworthy AI for ITS | Feng, Yuxiang; Ye, Qiming; Adan, Fahmy; Marques, Luis; Angeloudis, Panagiotis | Driving Style Classification using Deep Temporal Clustering with Enhanced Explainability |
| 472 | EXP01 | 5B | 26 | 15.00-16.30 | Trustworthy AI for ITS | Wöber, Wilfried; Waikat, Jakub; Mehnen, Lars; Olaverri-Monreal, Cristina | Unsupervised Traffic Sign Classification Relying on Explanatory Visible Factors |
| 469 | EXP01 | 5B | 26 | 15.00-16.30 | Trustworthy AI for ITS | Atakishiyev, Shahin; Salameh, Mohammad; Babiker, Housam; Goebel, Randy | Explaining Autonomous Driving Actions with Visual Question Answering |
| 1533 | EXP01 | 5B | 26 | 15.00-16.30 | Trustworthy AI for ITS | Ahmad, H M Sabbir; Sabouni, Ehsan; Xiao, Wei; Cassandras, Christos; Li, Wenchao | Trust-Aware Resilient Control and Coordination of Connected and Automated Vehicles |
| 755 | FED01 | 1B | 26 | 10.00-11.00 | Data mining in ITS: Federated Learning | Vieira, Flávio; Campos, Carlos A. V. | FedWS: Dealing with Heterogeneous Data on Federated Learning |
| 192 | FED01 | 1B | 26 | 10.00-11.00 | Data mining in ITS: Federated Learning | Chang, Xing; Xue, Xiaoping; Yao, Baojing; Li, Aojie; Ma, jingxiao; Yu, Yantao | Reliable Federated Learning with Mobility-Aware Reputation Mechanism for Internet of Vehicles |
| 1476 | FED01 | 1B | 26 | 10.00-11.00 | Data mining in ITS: Federated Learning | Vondikakis, Ioannis; Panagiotopoulos, Ilias; Dimitrakopoulos, George | An adaptive federated learning framework for intelligent road surface classification |
| 1516 | FED01 | 1B | 26 | 10.00-11.00 | Data mining in ITS: Federated Learning | Meese, Collin; Lee, Danielle; Chen, Hang; Nejad, Mark | vLOFT: Variable Learning Rate for Online Federated Traffic Prediction |
| 1097 | GAME01 | 5A | 28 | 10.00-11.00 | Gaming theory in ITS | Li, Kunming; Chen, Yijun; Shan, Mao; Li, Jiachen; Worrall, Stewart; Nebot, Eduardo | Game Theory-Based Simultaneous Prediction and Planning for Autonomous Vehicle Navigation in Crowded Environments |
| 1114 | GAME01 | 5A | 28 | 10.00-11.00 | Gaming theory in ITS | JI, Mengyu; XU, YU HONG; Cheng, Shih-Fen | Quantifying Taxi Drivers’ Behaviors with Behavioral Game Theory |
| 1623 | GAME01 | 5A | 28 | 10.00-11.00 | Gaming theory in ITS | Hayashi, Yuito; Hato, Eiji | Mitigating Congestion with Auctions: A Game Theoretic Approach for Selfish Autonomous Vehicles |
| 1628 | GAME01 | 5A | 28 | 10.00-11.00 | Gaming theory in ITS | HAJJAR, PERLA; KLOUL, Leïla; Barth, Dominique | Optimal Bus Scheduling using a Distributed Game Model Approach |
| 127 | IS01 | 0D | 27 | 15.00-16.30 | Intelligent Sensors | Arce Sáenz, Luis Alejandro; Izquierdo Reyes, Javier; Bustamante Bello, Martín Rogelio | Road Surface Monitoring System Through Machine Learning Ensemble Models |
| 184 | IS01 | 0D | 27 | 15.00-16.30 | Intelligent Sensors | Liu, Yicai; Zhang, Guowang; Li, Jian; Huang, Changyao; Wang, Xiangyu; Li, Liang | One-Level Feedback Torque Tracking based on Explicit Model Predictive Control for Steering-by-Wire System |
| 233 | IS01 | 0D | 27 | 15.00-16.30 | Intelligent Sensors | Cellina, Marcello; Strada, Silvia; Savaresi, Sergio M. | Vehicle fuel consumption virtual sensing from GNSS and IMU measurements |
| 839 | IS01 | 0D | 27 | 15.00-16.30 | Intelligent Sensors | Balamutas, Juozas; Ambraziunas, Mantas; Navikas, Dangirutis; Markevicius, Vytautas; Cepenas, Mindaugas; Valinevicius, Algimantas; Zilys, Mindaugas; Andriukaitis, Darius | Method for Accelerometer and Magnetometer based vehicle classification |
| 322 | IS01 | 0D | 27 | 15.00-16.30 | Intelligent Sensors | Bensen, Erik; Severino, Joseph; Ugirumurera, Juliette; Wang, Qichao; Sanyal, Jibonananda; Jones, Wesley | A Machine Learning Method for Real-Time Traffic State Estimation from Probe Vehicle Data |
| 1669 | IS01 | 0D | 27 | 15.00-16.30 | Intelligent Sensors | Zhang, Ruixuan; Han, Wenyu; Bian, Zilin; Ozbay, Kaan; Feng, Chen | Learning When to See for Long-term Traffic Data Collection on Power-constrained Devices |
| 1052 | IS02 | 0D | 27 | 17.00-18.00 | Intelligent Sensors | Lin, Yiru; Wei, Xinwei; Zou, Zhiyuan; Yi, Wei | Deep Learning based 3D Target Detection Method for the Range-Azimuth-Doppler Cube of Automotive Radar |
| 138 | IS02 | 0D | 27 | 17.00-18.00 | Intelligent Sensors | Oboril, Fabian; Buerkle, Cornelius; Zayed, Omar; Scholl, Kay-Ulrich | HistoGrid: Robust LiDAR-based Traffic Monitoring |
| 1414 | IS02 | 0D | 27 | 17.00-18.00 | Intelligent Sensors | Qu, Ao; Huang, Xuhuan; Suo, Dajiang | SEIP: Simulation-based Design and Evaluation of Infrastructure-based Collective Perception |
| 1029 | IS02 | 0D | 27 | 17.00-18.00 | Intelligent Sensors | Sofokleous, Marina; Englezou, Yiolanda; Savva, Aristotelis; Timotheou, Stelios; Panayiotou, Christos | Low complexity heuristics for multi-objective sensor placement in traffic networks |
| 1389 | LOG01 | 0E | 28 | 10.00-11.00 | Intelligent Logistics | Li, Daiwei; Gao, Liang; Jia, Bobo; Yang, Yi; Fu, Mengyin; Xie, Shanshan | An Environmental and Behavioral-oriented Search-based Trajectory Planning Approach for Tractor-trailer System in Narrow Environment |
| 992 | LOG01 | 0E | 28 | 10.00-11.00 | Intelligent Logistics | Huang, Yunping; Zheng, Nan; Liang, Enming; Hsu, Shu-Chien; Zhong, Renxin | An Approximate Dynamic Programming Approach to Vehicle Dispatching and Relocation using Time-Dependent Travel Times |
| 938 | LOG01 | 0E | 28 | 10.00-11.00 | Intelligent Logistics | Zhang, Kunyi; Pang, Yanbo; Sekimoto, Yoshihide | Deep Learning Approach to Logistics Trips Generation: Enhancing Pseudo People Flow with Agent-Based Modeling |
| 826 | LOG01 | 0E | 28 | 10.00-11.00 | Intelligent Logistics | Chen, Xinan; Bai, Ruibin; Qu, Rong; Dong, Jing | Neural Network Assisted Genetic Programming in Dynamic Container Port Truck Dispatching |
| 1066 | MAV01 | 5H | 25 | 11.00-12.00 | Multi-Autonomous vehicle studies | Ma, Yining; Khan, Qadeer; Cremers, Daniel | Multi Agent Navigation in Unconstrained Environments Using a Centralized Attention Based Graphical Neural Network Controller |
| 1128 | MAV01 | 5H | 25 | 11.00-12.00 | Multi-Autonomous vehicle studies | Jagdale, Karan Suresh; Khan, Zaid Saeed; Menendez, Monica; Ornik, Melkior | Optimal Planning on a Single-Route Transit System with Modular Buses |
| 636 | MAV01 | 5H | 25 | 11.00-12.00 | Multi-Autonomous vehicle studies | Konstantinidis, Fabian; Sackmann, Moritz; Hofmann, Ulrich; Stiller, Christoph | Modeling Interaction-Aware Driving Behavior using Graph-Based Representations and Multi-Agent Reinforcement Learning |
| 359 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Chen, Mo; Murgovski, Nikolce; Xiao, Zhuang; Feng, Xiaoyun; Wang, Qingyuan; Sun, Pengfei | Energy-efficient and Safe-separation Operation for Successive Trains |
| 729 | MAV02 | 5H | 25 | 12.00-13.00 | Multi-Autonomous vehicle studies | Kremer, Philipp; Nourani Vatani, Navid; Park, Sangyoung | Digital Twin Enabled Teleoperated Driving under Network Delay using Ego Vehicle Tracking |
| 987 | MAV02 | 5H | 25 | 12.00-13.00 | Multi-Autonomous vehicle studies | Zofka, Marc René; Fleck, Tobias; Schörner, Philip; Heinrich, Marc; Zöllner, J. Marius | Paving the Ways for Vehicles-in-the-loop: Wireless Integration of Autonomous Vehicles into Mixed Reality Proving Grounds and Test Areas |
| 582 | MAV02 | 5H | 25 | 12.00-13.00 | Multi-Autonomous vehicle studies | Luo, Zhangzhi; jiang, yang; Han, Qingwen; Zeng, Lingqiu; Qi, LingFeng | Message prediction method and application based on V2X interactive data completeness |
| 988 | MAV02 | 5H | 25 | 12.00-13.00 | Multi-Autonomous vehicle studies | Höfer, Tristan; Hoppe, Mattis; Kusmenko, Evgeny; Rumpe, Bernhard | MontiSim: Agent-Based Simulation for Reinforcement Learning of Autonomous Driving |
| 109 | MAV03 | 5H | 25 | 14.00-15.30 | Multi-Autonomous vehicle studies | Kloock, Maximilian; Alrifaee, Bassam | Cooperative Pose Control of Non-Holonomic Vehicles Using Synchronization |
| 1468 | MAV03 | 5H | 25 | 14.00-15.30 | Multi-Autonomous vehicle studies | Adan, Fahmy; Feng, Yuxiang; Angeloudis, Panagiotis; Quddus, Mohammed; Ochieng, Washington | Constrained Multi-Agent Reinforcement Learning Policies for Cooperative Intersection Navigation and Traffic Compliance |
| 1415 | MAV03 | 5H | 25 | 14.00-15.30 | Multi-Autonomous vehicle studies | Filipe, Francisco; Kokkinogenis, Zafeiris; d’Orey, Pedro M.; Rossetti, Rosaldo | Cooperative, Connected and Autonomous Mobility: Coordination at Intersections using Reservation-based Mechanisms |
| 139 | MAV03 | 5H | 25 | 14.00-15.30 | Multi-Autonomous vehicle studies | Ali, Muhammad; Tangirala, Nagacharan Teja; Knoll, Alois; Eckhoff, David | Rebalancing Autonomous Electric Vehicles for Mobility-on-Demand by Data-Driven Model Predictive Control |
| 1547 | MAV03 | 5H | 25 | 14.00-15.30 | Multi-Autonomous vehicle studies | Lichtlé, Nathan; Jang, Kathy; Shah, Adit; Vinitsky, Eugene; Lee, Jonathan; Bayen, Alexandre | Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data |
| 1266 | MAV03 | 5H | 25 | 14.00-15.30 | Multi-Autonomous vehicle studies | Sekeran, Maya; Syed, Arslan Ali; Lindner, Johannes; Margreiter, Martin; Bogenberger, Klaus | Investigating Lane-Free Traffic with a Dynamic Driving Simulator |
| 1646 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Lian, Zhexi; Hu, Jia; Zhang, Zhen; Yang, Xiaoguang; Lai, Jintao | A Multi-phase-adaptable Bus Lane Sharing Strategy for Vehicles with Various Turning Intentions at Intersections |
| 1539 | MAV04 | 5H | 25 | 15.30-16.30 | Multi-Autonomous vehicle studies | Gontscharow, Martin; Schotschneider, Albert; Orf, Stefan; Fleck, Tobias; Zofka, Marc René; Zöllner, J. Marius | Survey and Design Handbook for Control Centers of Automated Vehicle Fleets |
| 781 | MAV04 | 5H | 25 | 15.30-16.30 | Multi-Autonomous vehicle studies | Sural, Shounak; Su, Gregory; Sahu, Nishad; Naren, Naren; Rajkumar, Ragunathan | CoSim: A Co-Simulation Framework for Testing Autonomous Vehicles in Adverse Operating Conditions |
| 857 | MAV04 | 5H | 25 | 15.30-16.30 | Multi-Autonomous vehicle studies | Coretti Sanchez, Naroa; Mugica Gonzalez, Juan; Quinn, Bowers; Grignard, Arnaud; Castelló Ferrer, Eduardo; Alonso, Luis; Larson, Kent | Urban Mobility Swarms: towards a decentralized autonomous bicycle-sharing system |
| 1471 | MAV05 | 5H | 25 | 17.00-18.00 | Multi-Autonomous vehicle studies | Yang, Junqing; Yan, Yuxi; Chen, Shitao; Zheng, Nanning | Enhancing Scene Simulation for Autonomous Driving with Neural Point Rendering |
| 135 | MAV05 | 5H | 25 | 17.00-18.00 | Multi-Autonomous vehicle studies | Fang, Yukun; Min, Haigen; WU, xia; Xia, Sen; Teixeira, Rui; Zhao, Xiangmo | Damping Behavior and String Stability Analysis of an MPF-Helly Car Following Model for Connected Autonomous Vehicles |
| 1180 | MAV05 | 5H | 25 | 17.00-18.00 | Multi-Autonomous vehicle studies | Ghoul, Amina; Yahiaoui, Itheri; Nashashibi, Fawzi | Interpretable Long Term Waypoint-Based Trajectory Prediction Model |
| 1616 | MAV05 | 5H | 25 | 17.00-18.00 | Multi-Autonomous vehicle studies | Somisetty, Neelkamal; Nagarajan, Harsha; Darbha, Swaroop | Impact of Ordering of Heterogeneous Vehicles on String Stability |
| 1191 | MAV06 | 5G | 28 | 11.00-12.00 | Multi-Autonomous vehicle studies | Ren, Hualing; Liu, Kai; Li, Yantao; Dai, Penglin; Xiao, Ke | Cooperative Data Uploading and Task Offloading Via Markov-Approximation in Heterogeneous Vehicular Networks |
| 919 | MAV06 | 5G | 28 | 11.00-12.00 | Multi-Autonomous vehicle studies | Chellapandi, Vishnu Pandi; Yuan, Liangqi; Zak, Stanislaw H.; Wang, Ziran | A Survey of Federated Learning for Connected and Automated Vehicles |
| 753 | MAV06 | 5G | 28 | 11.00-12.00 | Multi-Autonomous vehicle studies | Hofinger, Felix; Mischinger, Marlies; Haberl, Michael; Fellendorf, Martin | Lane Change Model For Automated Vehicles on Multi-Lane Highways in Mixed Traffic |
| 792 | MAV06 | 5G | 28 | 11.00-12.00 | Multi-Autonomous vehicle studies | Schlichting, Marc René; Boord, Nina Virginia; Corso, Anthony; Kochenderfer, Mykel | SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning |
| 1544 | ML01 | 5B | 26 | 17.00-18.00 | Data mining in ITS: Machine Learning | WANG, Ruiqi; Ji, Ang; Li, Tao; Sun, Zhanbo; Zhijian, Fu | An interpretable machine learning-based analysis of vehicle yielding during pedestrian-vehicle interactions at unsignalized intersections |
| 767 | ML01 | 5B | 26 | 17.00-18.00 | Data mining in ITS: Machine Learning | Morais, Mayuri Annerose; Camargo, Raphael Yokoingawa | Real-time Incident Detection in Public Bus Systems Using Machine Learning |
| 515 | ML01 | 5B | 26 | 17.00-18.00 | Data mining in ITS: Machine Learning | Zheng, Yubin; Cheng, Cheng; Yu, Shui; Ye, Xian; Wang, Zixuan; Li, Xinghua | Predicting the Vehicle Turn-in Rates of Highway Service Area: A Random Forest Approach |
| 534 | ML01 | 5B | 26 | 17.00-18.00 | Data mining in ITS: Machine Learning | Sun, Yue; Zhang, Kangshuai; liu, qi; Yang, Yang; Peng, Lei | Efficient Large-Scale Parking Data Prediction based on Parking Zone Division |
| 464 | MoP01 | 0A | 25 | 11.00-13.00 | Motion Planning and Navigation | Oh, Inhyuk; Seo, Juwon; Kim, Jin Sung; Chung, Chung Choo | Reachable Set-based Path Planning for Automated Parking System |
| 1151 | MoP01 | 0A | 25 | 11.00-13.00 | Motion Planning and Navigation | Shi, Jiamin; Qiu, Zhuo; Zhang, Tangyike; Chen, Shitao; Xin, Jingmin; Zheng, Nanning | Robot Crowd Navigation based on Spatio-Temporal Interaction Graphs and Danger Zones |
| 188 | MoP01 | 0A | 25 | 11.00-13.00 | Motion Planning and Navigation | Puphal, Tim; Eggert, Julian | Introducing Risk Shadowing For Decisive and Comfortable Behavior Planning |
| 378 | MoP01 | 0A | 25 | 11.00-13.00 | Motion Planning and Navigation | Han, Sangwon; Park, Geonyeong; Ahn, Yoonyong; Cho, GunHee; Kim, Soontae; Huh, Kunsoo | Estimated State-Based Optimal Lane-Keeping Path Planning and Control System for Semi-Trailer Trucks |
| 364 | MoP01 | 0A | 25 | 11.00-13.00 | Motion Planning and Navigation | Li, Dianzhao; Okhrin, Ostap | Vision-based DRL Autonomous Driving Agent with Sim2Real Transfer |
| 493 | MoP01 | 0A | 25 | 11.00-13.00 | Motion Planning and Navigation | Maierhofer, Sebastian; Althoff, Matthias; Ballnath, Yannick | Map Verification and Repairing Using Formalized Map Specifications |
| 1299 | MoP01 | 0A | 25 | 11.00-13.00 | Motion Planning and Navigation | Rama, Petrit; Bajcinca, Naim | MALE-A: Stimuli and Cause Prediction for Maneuver Planning via Graph Neural Networks in Autonomous Driving |
| 690 | MoP02 | 0A | 25 | 14.00-15.30 | Motion Planning and Navigation | Lin, Yu-Chen; Sun, Chien-Wen; Lyu, Bo-Han; Yeh, Ting-Jia | An Adaptive Semi-Active Suspension System for Design of Vehicle Stability Control System |
| 1551 | MoP02 | 0A | 25 | 14.00-15.30 | Motion Planning and Navigation | Zhang, Xiaotong; Fu, Jiawei; Chen, Shitao; Zheng, Nanning | Real-Time, Secure, and Computationally Efficient Navigation: A Prediction-Planning Framework Using Occupancy Grid Map |
| 959 | MoP02 | 0A | 25 | 14.00-15.30 | Motion Planning and Navigation | Lin, Pengfei; Javanmardi, Ehsan; Nakazato, Jin; Tsukada, Manabu | Occlusion-Aware Path Planning for Collision Avoidance: Leveraging Potential Field Method with Responsibility-Sensitive Safety |
| 111 | MoP02 | 0A | 25 | 14.00-15.30 | Motion Planning and Navigation | Haydon, James; Bondu, Martin; Eberhart, Clovis; Dubut, Jérémy; Hasuo, Ichiro | Formal Verification of Intersection Safety for Automated Driving |
| 7 | MoP02 | 0A | 25 | 14.00-15.30 | Motion Planning and Navigation | Tong, Kailin; Solmaz, Selim; Horn, Martin; Stolz, Michael; Watzenig, Daniel | Robust Tunable Trajectory Repairing for Autonomous Vehicles Using Bernstein Basis Polynomials and Path-Speed Decoupling |
| 468 | MoP02 | 0A | 25 | 14.00-15.30 | Motion Planning and Navigation | Xiao, Xiaofeng; Li, Wei; Meng, Yu; Hu, Wen; Fang, Huazhen; GU, Qing; Cao, Dongpu | TP-GDM: Trajectory Prediction-based Game Decision-Making Model and A Case Study on Merging |
| 1680 | MoP03 | 0A | 25 | 15.30-16.30 | Motion Planning and Navigation | Chen, Ming; Liu, Jianyi; Pang, Jinlong; Jian, Zhiqiang; Chen, Pei | Multi-risk Aware Trajectory Planning for Car-like Robot in Highly Dynamic Environments |
| 453 | MoP03 | 0A | 25 | 15.30-16.30 | Motion Planning and Navigation | Neumeier, Marion; Dorn, Sebastian; Botsch, Michael; Utschick, Wolfgang | Prediction and Interpretation of Vehicle Trajectories in the Graph Spectral Domain |
| 1515 | MoP03 | 0A | 25 | 15.30-16.30 | Motion Planning and Navigation | Peiss, Lars Frederik; Wohlgemuth, Elias; Xue, Fan; Meyer, Eivind; Gressenbuch, Luis; Althoff, Matthias | Graph-based Autonomous Driving with Traffic Rule-Enhanced Curriculum Learning |
| 1524 | MoP03 | 0A | 25 | 15.30-16.30 | Motion Planning and Navigation | Chavez Armijos, Andres; Li, Anni; Cassandras, Christos | Maximizing Safety and Efficiency for Cooperative Lane-Changing: A Minimally Disruptive Approach |
| 693 | MoP04 | 0A | 25 | 17.00-18.00 | Motion Planning and Navigation | Zhang, Tangyike; SUN, Shuo; Shi, Jiamin; Chen, Shitao; Ang Jr, Marcelo H; Xin, Jingmin; Zheng, Nanning | Maximum Entropy Inverse Reinforcement Learning Based on Frenet Frame Sampling for Human-like Autonomous Driving |
| 1244 | MoP04 | 0A | 25 | 17.00-18.00 | Motion Planning and Navigation | Schulte-Tigges, Joschua; Rondinone, Michele; Reke, Michael; Wachenfeld, Jan; Kaszner, Daniel | Using V2X Communications for Smart ODD Management of Highly Automated Vehicles |
| 796 | MoP04 | 0A | 25 | 17.00-18.00 | Motion Planning and Navigation | Hsiao, Chun-Chien; An, Gihyeob; Bae, Jun Han; Talebpour, Alireza | A Comfort-Based Vehicle Routing Methodology for Autonomous Vehicles According to Vehicles’ Speed |
| 315 | MoP04 | 0A | 25 | 17.00-18.00 | Motion Planning and Navigation | Graubohm, Robert; Salem, Nayel Fabian; Nolte, Marcus; Maurer, Markus | On Assumptions with Respect to Occlusions in Urban Environments for Automated Vehicle Speed Decisions |
| 121 | MoP05 | 0A | 26 | 10.00-11.30 | Motion Planning and Navigation | Lubiniecki, Toni; Schildbach, Georg | Trajectory Tracking MPC With Online Model Adaptation Using Gaussian Process Regression and Clustering |
| 437 | MoP05 | 0A | 26 | 10.00-11.30 | Motion Planning and Navigation | Schäfer, Johannes; Keppler, Felix; Wagner, Sebastian; Janschek, Klaus | RMTRUCK: Deadlock-free Execution of Multi-robot Plans under Delaying Disturbances |
| 851 | MoP05 | 0A | 26 | 10.00-11.30 | Motion Planning and Navigation | Cheng, Jie; Chen, Ruishuang; liangzhihui, Liang; DING, SHUAN; Yang, Zaiyue | Trajectory Planning for Formation Variation of UGVs in Cluttered Environment |
| 1198 | MoP05 | 0A | 26 | 10.00-11.30 | Motion Planning and Navigation | Ye, Linhui; Wen, Zoutao; Zhang, Hailong; Ran, Bin | A General DRL-Based Framework using Mode-Selection Tangent Time Projection for Mixed On-Ramp Merging |
| 1257 | MoP05 | 0A | 26 | 10.00-11.30 | Motion Planning and Navigation | Chen, Xiao; Mårtensson, Jonas | Invariant Safe Contingency Model Predictive Control for Intersection Coordination of Mixed Traffic |
| 1554 | MoP05 | 0A | 26 | 10.00-11.30 | Motion Planning and Navigation | Liu, Yu; Zhang, Yuexin; Li, Kunming; Qiao, Yongliang; Worrall, Stewart; Li, You-Fu; Kong, He | Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction |
| 1498 | MoP06 | 0A | 26 | 11.30-13.00 | Motion Planning and Navigation | Wang, Ning; Chen, Xiao; Mårtensson, Jonas | Rollout-Based Interactive Motion Planning for Automated Vehicles |
| 145 | MoP06 | 0A | 26 | 11.30-13.00 | Motion Planning and Navigation | Liu, Jiaqi; L. Azad, Nasser; Qu, Ting | An Optimization-based Coordination of Multi-lane Platoons of Connected and Automated Trucks for Reducing Travel Time |
| 772 | MoP06 | 0A | 26 | 11.30-13.00 | Motion Planning and Navigation | Jank, Georg; Rowold, Matthias; Lohmann, Boris | Hierarchical Time-Optimal Planning for Multi-Vehicle Racing |
| 886 | MoP06 | 0A | 26 | 11.30-13.00 | Motion Planning and Navigation | Lei, Mingyue; Yan, Xuerun; Hu, Jia; Wang, Haoran | Eco-Cooperative and Adaptive Cruise Control for Enhanced Fuel Efficiency on Rolling Terrain |
| 1378 | MoP06 | 0A | 26 | 11.30-13.00 | Motion Planning and Navigation | Prabu, Avinash; Li, Lingxi; Chen, Yaobin; King, Brian | Data-driven Deep Reinforcement Learning for Automated Driving |
| 1684 | MoP06 | 0A | 26 | 11.30-13.00 | Motion Planning and Navigation | Qian, Zelin; Cao, Zhong; Zhou, Weitao; Wen, Junze; Jing, Cheng; Yang, Diange; Jiang, Kun | An End-to-End Autonomous Driving Pre-trained Transformer Model for Multi-Behavior-Optimal Trajectory Generation |
| 1006 | MoP07 | 0A | 26 | 15.00-16.30 | Motion Planning and Navigation | Madridano Carrasco, Angel; Campos, Sergio; Pérez Rastelli, Joshué; Valle, Alfredo; Martín, Diego; Lattarulo, Ray; de Miguel, Miguel Angel; Naranjo, Jose; Garcia, Fernando | Evolution of bus shuttle service in Madrid towards autonomous operation, a practical use case |
| 1285 | MoP07 | 0A | 26 | 15.00-16.30 | Motion Planning and Navigation | Martínez, Irene | Mitigation of stop-and-go traffic waves with intelligent vehicles at low market penetration rates |
| 1488 | MoP07 | 0A | 26 | 15.00-16.30 | Motion Planning and Navigation | Zhang, Hanwen; Rostami-Shahrbabaki, Majid; Troullinos, Dimitrios; Bogenberger, Klaus | A Novel Potential Line Strategy for Autonomous Vehicle Control in Lane-free Traffic |
| 1023 | MoP07 | 0A | 26 | 15.00-16.30 | Motion Planning and Navigation | Martinez Gomez, Luis Miguel; García Daza, Iván; Sotelo Vázquez, Miguel Ángel | Temporal Based Deep Reinforcement Learning for Crowded Lane Merging Maneuvers |
| 700 | MoP07 | 0A | 26 | 15.00-16.30 | Motion Planning and Navigation | Geurts, Merlijne; Silvas, Emilia; Katriniok, Alexander; Heemels, Maurice | Effects of using Motion Predictions in Automated Driving in Highway Lane Merging |
| 1229 | MoP07 | 0A | 26 | 15.00-16.30 | Motion Planning and Navigation | Fulwadiya, Rajkumari; Jain, Udit; Sharma, Anshuman; Kathuria, Ankit | Can autonomous vehicles enhance safety in heterogeneous disordered traffic conditions? A simulation-based exploratory study |
| 106 | MoP08 | 0A | 26 | 17.00-18.00 | Motion Planning and Navigation | Kedia, Shubham; Karumanchi, Sambhu Harimanas | Real-time Autonomous Vehicle Navigation under Unknown Dynamics |
| 152 | MoP08 | 0A | 26 | 17.00-18.00 | Motion Planning and Navigation | Jian, Zhiqiang; Zhang, Songyi; Sun, Lingfeng; Zhan, Wei; Tomizuka, Masayoshi; Zheng, Nanning | Adaptive Spatio-Temporal Voxels Based Trajectory Planning for Autonomous Driving in Highway Traffic Flow |
| 458 | MoP08 | 0A | 26 | 17.00-18.00 | Motion Planning and Navigation | Zheng, Lei; Yang, Rui; Peng, Zengqi; Liu, Haichao; Wang, Michael Yu; Ma, Jun | Real-Time Parallel Trajectory Optimization with Spatiotemporal Safety Constraints for Autonomous Driving in Congested Traffic |
| 1148 | MoP08 | 0A | 26 | 17.00-18.00 | Motion Planning and Navigation | Zhang, Luyao; Han, Shaohang; Grammatico, Sergio | An Efficient Game-Theoretic Planner for Automated Lane Merging with Multi-Modal Behavior Understanding |
| 389 | MoP09 | 5A | 26 | 17.00-18.00 | Motion Planning and Navigation | Hallgarten, Marcel; Stoll, Martin; Zell, Andreas | From Prediction to Planning With Goal Conditioned Lane Graph Traversals |
| 1234 | MoP09 | 5A | 26 | 17.00-18.00 | Motion Planning and Navigation | Hu, Yunze; Chen, Jiaao; Zhou, Kangjie; Gao, Han; Li, Yutong; Liu, Chang | Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation |
| 1241 | MoP09 | 5A | 26 | 17.00-18.00 | Motion Planning and Navigation | Kim, Seongyeon; Shin, Jongho | Optimization-Based Path Planning Algorithm with Finite Traversable Area |
| 1658 | MoP09 | 5A | 26 | 17.00-18.00 | Motion Planning and Navigation | Chen, Zhan; YU, Zhuoping; Lu, Xiong; Tang, Chen | Drive with Quantified Risk: A Probabilistic Approach for Occlusion-aware Trajectory Planning |
| 1453 | MoP10 | 0E | 27 | 10.00-11.30 | Motion Planning and Navigation | Braining, Andreas; Nikolovski, Gjorgji; Reke, Michael; Ferrein, Alexander Antoine | Extraction of Semantically Rich High-Definition Maps from Spatial Representations of an Open Pit Mine |
| 260 | MoP10 | 0E | 27 | 10.00-11.30 | Motion Planning and Navigation | Lin, Li; Zheng, Jiang Yu | Understanding Vehicle Interaction in Driving Video with Spatial-Temporal Deep Learning Network |
| 284 | MoP10 | 0E | 27 | 10.00-11.30 | Motion Planning and Navigation | Li, Haichuan; LIGUO, ZHOU; Knoll, Alois | SSN: Sequential Spatial Network for Collision Avoidance in Birds-Eye View |
| 1269 | MoP10 | 0E | 27 | 10.00-11.30 | Motion Planning and Navigation | Heusel, Judith; del Alamo, Miguel; Baasch, Benjamin; Roth, Michael | On the Use of Axle-Box Acceleration Data for Rail Vehicle Positioning |
| 834 | MoP10 | 0E | 27 | 10.00-11.30 | Motion Planning and Navigation | Li, Tao; Ye, Shanding; Li, Ruihang; Fu, Yongjian; Pan, Zhijie | Topology-aware Road Extraction via Multi-task Learning for Autonomous Driving |
| 384 | MoP10 | 0E | 27 | 10.00-11.30 | Motion Planning and Navigation | Schier, Maximilian; Reinders, Christoph; Rosenhahn, Bodo | Learned Fourier Bases for Deep Set Feature Extractors in Automotive Reinforcement Learning |
| 1376 | MoP11 | 0E | 27 | 11.30-13.00 | Motion Planning and Navigation | Pang, Jinsong; Long, Tingting; Cui, Zhichao; Xu, Linhai; Li, Li; Zhang, Chi | Learning from Not All Vehicles via Influence Function |
| 433 | MoP11 | 0E | 27 | 11.30-13.00 | Motion Planning and Navigation | Bi, Xin; Weng, Caien; Tong, Panpan; Zhang, Bo; Li, Zhichao | MEERL: Maximum Experience Entropy Reinforcement Learning Method for Navigation and Control of Automated Vehicles |
| 209 | MoP11 | 0E | 27 | 11.30-13.00 | Motion Planning and Navigation | Bouaziz, Youssef; royer, eric; Bresson, Guillaume; dhome, Michel Dhome | Long-term localization with map compression based on solar information |
| 327 | MoP11 | 0E | 27 | 11.30-13.00 | Motion Planning and Navigation | Zhou, Huanyu; Lu, Shouyi; Zhuo, Guirong | Self-supervised 4-D Radar Odometry for Autonomous Vehicles |
| 811 | MoP11 | 0E | 27 | 11.30-13.00 | Motion Planning and Navigation | Cheng, Hao; LIU, Mengmeng; Chen, Lin | An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images |
| 1649 | MoP11 | 0E | 27 | 11.30-13.00 | Motion Planning and Navigation | Sharma, Ayush; Mehan, Yash; Dasu, Pradyumna; Garg, Sourav; Krishna, K Madhava | Hierarchical Unsupervised Topological SLAM |
| 93 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Guo, Youxing; Sun, Pengfei; Wang, Qingyuan; Li, Zhi | Adaptive Terminal Sliding Mode Control for High-Speed Train Using Multibody Dynamics Model under Boundary Constraint |
| 429 | MoP12 | 0E | 27 | 15.00-16.30 | Motion Planning and Navigation | Li, Shuoyuan; Wang, Guan; Xiao, Xiao; Xu, Zhenghao; Hu, Jia; Wang, Haoran | Enabling Eco-Approach Where Signal Timing Is Unknown |
| 521 | MoP12 | 0E | 27 | 15.00-16.30 | Motion Planning and Navigation | Halder, Patrick; Christ, Fabian; Althoff, Matthias | Lexicographic Mixed-Integer Motion Planning with STL Constraints |
| 1034 | MoP12 | 0E | 27 | 15.00-16.30 | Motion Planning and Navigation | Fischer, Johannes; Steiner, Marlon; Tas, Omer Sahin; Stiller, Christoph | Safe Reinforced Model Predictive Control (SRL-MPC): Improving MPC with RL for Motion Planning in Autonomous Driving |
| 274 | MoP12 | 0E | 27 | 15.00-16.30 | Motion Planning and Navigation | Zhang, Songyi; Jian, Zhiqiang; Zhan, Wei; Zheng, Nanning; Tomizuka, Masayoshi | Time-Optimal Curvature Continuous Path to a Line for Robot Steering |
| 1683 | MoP12 | 0E | 27 | 15.00-16.30 | Motion Planning and Navigation | Liu, Yuanzhi; Lu, Xiong; Tang, Chen | Towards Driving and Parking Integration : An Holistic Planning Framework for Automated Valet Parking with Optimized Efficiency |
| 176 | MoP13 | 0E | 27 | 17.00-18.00 | Motion Planning and Navigation | Yin, Yunfei; Kou, Tingli; Ochieng, Nyambega; Bao, Xianjian | PASFLN: Positional Association and Semantic Fusion Learning Network for Traffic Object Detection |
| 504 | MoP13 | 0E | 27 | 17.00-18.00 | Motion Planning and Navigation | Li, Zhuoren; Lu, Xiong; Leng, Bo; Xu, Puhang; Fu, Zhiqiang | Safe Reinforcement Learning of Lane Change Decision Making with Risk-fused Constraint |
| 844 | MoP13 | 0E | 27 | 17.00-18.00 | Motion Planning and Navigation | Axmann, Jeldrik; Zhang, Yimin; Brenner, Claus | Maximum Consensus Localization using an Objective Function based on Helmerts Point Error |
| 1044 | MoP13 | 0E | 27 | 17.00-18.00 | Motion Planning and Navigation | Zhang, Mingfang; Liu, Ying; Li, huajian; Wang, Li; Wang, Pangwei | An Intention-Based Multi-Modal Trajectory Prediction Framework for Overtaking Maneuver |
| 1681 | MoP14 | 5A | 28 | 11.00-12.00 | Motion Planning and Navigation | Zhong, Yucong; Liu, Jianyi; Jian, Zhiqiang; Pang, Jinlong; Chen, Shitao | DVT-Tree: Dynamic Visible Topology Tree for Efficient Mapless Navigation in Maze Environments |
| 1203 | MoP14 | 5A | 28 | 11.00-12.00 | Motion Planning and Navigation | Tu, Chengen; Li, Zhuoren; Leng, Bo; Lu, Xiong | A Seamless Motion Planning Integrating Maneuver Decision Based on Hybrid Model Predictive Control |
| 1377 | MoP14 | 5A | 28 | 11.00-12.00 | Motion Planning and Navigation | Abdeselam, Navil; Gutiérrez-Moreno, Rodrigo; López-Guillén, Elena; Barea, Rafael; Montiel-Marín, Santiago; Bergasa, Luis M. | Hybrid MPC and Spline-based Controller for Lane Change Maneuvers in Autonomous Vehicles |
| 1491 | MoP14 | 5A | 28 | 11.00-12.00 | Motion Planning and Navigation | Trumpp, Raphael; Büchner, Martin Alexander; Valada, Abhinav; Caccamo, Marco | Efficient Learning of Urban Driving Policies Using Bird’s-Eye-View State Representations |
| 918 | NM01 | 5B | 25 | 12.00-13.00 | Network Management | Yazici, Anil; Bargahi, Mahsa; Barati, Hojjat | Relationship between Criticality and Travel Time Reliability in Transportation Networks |
| 1213 | NM01 | 5B | 25 | 12.00-13.00 | Network Management | Guojian, Zou; Fan, Jing; Wang, Wang; Ma, Changxi; Wang, Ting; Li, Ye | Multi-Task-Based Spatio-Temporal Generative Inference Network for Predicting the Highway Traffic Speed |
| 1660 | NM01 | 5B | 25 | 12.00-13.00 | Network Management | Guojian, Zou; Wang, Ting; Wang, Wang; Fan, Jing; Li, Ye | How to Accurately Predict Traffic Speed Using Simple Input Variables? A Novel Self-Supervised Spatio-Temporal Bilateral Learning Network |
| 10 | NM01 | 5B | 25 | 12.00-13.00 | Network Management | Peng, Jiaheng; guan, tong; Liang, Jun | Spatial-Temporal Graph Discriminant AutoEncoder for Traffic Congestion Forecasting |
| 21 | NM02 | 5B | 25 | 14.00-15.30 | Network Management | guan, tong; Peng, Jiaheng; Liang, Jun | Spatial-Temporal Graph Multi-Gate Mixture-of-Expert Model for Traffic Prediction |
| 206 | NM02 | 5B | 25 | 14.00-15.30 | Network Management | Joumaa, Agatha; Goatin, Paola; De Nunzio, Giovanni | A Macroscopic Model for Multi-Modal Traffic Flow in Urban Networks |
| 1472 | NM02 | 5B | 25 | 14.00-15.30 | Network Management | Mousavizadeh, Omid; Keyvan-Ekbatani, Mehdi | Regional Transfer Flow Ratio Estimation in a Multi-reservoir Traffic System |
| 120 | NM02 | 5B | 25 | 14.00-15.30 | Network Management | Zhao, Fan; Wang, Yanhui; Wang, Wenhao | Identification of Critical Components of High-Speed Train Topology Network Under the Ice and Snow Scene |
| 113 | NM02 | 5B | 25 | 14.00-15.30 | Network Management | He, Zhichao; Wang, Yanhui; Jia, Limin; Xia, Weifu; Yan, Kai; Hao, Yucheng | Risk Identification Method for Urban Rail Transit System Considering Topology Structure |
| 1112 | NM02 | 5B | 25 | 14.00-15.30 | Network Management | Zhang, Yanqi; Bu, Bing; Fan, Ying | An Optimized Method Based on Two-Layer PSO Algorithm for the Node Deployment of the Wireless Ad Hoc Network in Train Autonomous Circumambulation System |
| 351 | NM03 | 5B | 25 | 15.30-16.30 | Network Management | Tak, Hye-young; Kim, Sunghoon; Kim, Yeeun; Yeo, Hwasoo | A Hybrid Model for Real-Time Traffic Prediction with Augmented Historical Data using Traffic Simulation |
| 1202 | NM03 | 5B | 25 | 15.30-16.30 | Network Management | Liu, Zehai; Yin, Jiateng; D’Ariano, Andrea; TANG, Tao | Vulnerability Assessment and Optimization of Urban Rail Systems Against Extreme Perturbations: An MIP-based Approach |
| 910 | NM03 | 5B | 25 | 15.30-16.30 | Network Management | Beojone, Caio Vitor; Zhu, Pengbo; Sirmatel, Isik Ilber; Geroliminis, Nikolas | Hierarchical Fleet Repositioning Control in Ride-hailing Systems |
| 705 | NM03 | 5B | 25 | 15.30-16.30 | Network Management | Wang, Ruoyu; zhou, huijuan; Zhang, Zundong; Song, Yajie; Liu, Xiao-ming | Theoretical Validation of Pedestrian Flow Pattern Distribution in Hub Station Passenger Channel Networks based on Macroscopic Evolution Fundamental Diagram |
| 666 | NM04 | 5B | 25 | 17.00-18.00 | Network Management | Brückner, Christoph; Patino Studencki, Lucila; Nan, Tianxiang; Büyükoglu, Atakan; Fischer, Michael | Simulation of Communication Network Latency Effects on Vehicle Teleoperation |
| 1692 | NM04 | 5B | 25 | 17.00-18.00 | Network Management | Ogawa, Daichi; Hato, Eiji | Adversarial Inverse Reinforcement Learning for Joint Behaviour Modeling in Bayesian Nash Networks |
| 1416 | NM04 | 5B | 25 | 17.00-18.00 | Network Management | Zhang, Yunfei; Ilic, Mario; Bogenberger, Klaus | A Novel Concept of Traffic Data Collection and Utilization: Autonomous Vehicles as a Sensor |
| 142 | NM04 | 5B | 25 | 17.00-18.00 | Network Management | Tang, Qianxue; Li, Dong; Ouyang, Zibo; Zheng, Wei | Deep reinforcement learning method for POMDP based tram signal priority |
| 159 | OPT01 | 1B | 25 | 11.00-12.00 | Advanced Optimization Techniques | Perez Delgado, Iñigo; Garcia Markaida, Beatriz; Mata Ali, Alejandro; Moreno Fdz de Leceta, Aitor | QUBO Resolution of the Job Reassignment Problem |
| 1320 | OPT01 | 1B | 25 | 11.00-12.00 | Advanced Optimization Techniques | He, Mingjia; Krishnakumari, Panchamy; Luo, Ding; Chen, Jiaqi | A Data-Driven Integrated Framework for Fast-Charging Facility Planning using Multi-Period Bi-Objective Optimization |
| 609 | OPT01 | 1B | 25 | 11.00-12.00 | Advanced Optimization Techniques | Fu, Jiali; Bhatti, Harrison John; Eek, Magnus | Optimization of Freight Charging Infrastructure Placement using Multiday Travel Data |
| 1449 | OPT01 | 1B | 25 | 11.00-12.00 | Advanced Optimization Techniques | Xue, Chaozhong; Dong, Yongqi; Liu, Jiaqi; Liao, Yijun; Li, Lingbo | Design of the Reverse Logistics System for Medical Waste Recycling Part II: Route Optimization with Case Study under COVID-19 Pandemic |
| 568 | OPT02 | 1B | 25 | 12.00-13.00 | Advanced Optimization Techniques | Li, Chunchi; Wang, Yiwei; Lu, Qiuzi; Huang, Yuhao; Wang, Wei; Huang, Youneng | Research on Strategy for Delay Recovery of Urban Rapid Rail Transit Trains Based on Coyote Optimization Algorithm |
| 932 | OPT02 | 1B | 25 | 12.00-13.00 | Advanced Optimization Techniques | Macias, Paula; Ahern, Zeke; Corry, Paul; Rabbani, Wahi; Paz, Alexander | An optimization framework for crash data count models |
| 952 | OPT02 | 1B | 25 | 12.00-13.00 | Advanced Optimization Techniques | Garcia de Andoin, Mikel*; Bottarelli, Alberto; Schmitt, Sebastian; Oregi, Izaskun; Hauke, Philipp; Sanz, Mikel | Formulation of the Electric Vehicle Charging and Routing Problem for a Hybrid Quantum-Classical Search Space Reduction Heuristic |
| 824 | OPT02 | 1B | 25 | 12.00-13.00 | Advanced Optimization Techniques | Sebastián V. Romero, Eneko Osaba*, Esther Villar-Rodriguez, Antón Asla | Solving Logistic-Oriented Bin Packing Problems through a Hybrid Quantum-Classical Approach |
| 971 | PLT01 | 5H | 27 | 11.30-13.00 | Intelligent Platooning | Song, Lei; Ma, Xiaohan; Hashemi, Ehsan; Wang, Hong | A Defensive Motion Framework for Autonomous Platoon to Handle Cut-in Maneuvers |
| 761 | PLT01 | 5H | 27 | 11.30-13.00 | Intelligent Platooning | Karbasi, Amir Hossein; Xu, Mingsai; He, Haifeng; Budisa, Steven; Yang, Hao; Yang, Cancan | The impact of truck platooning on traffic flow considering bridge safety index |
| 329 | PLT01 | 5H | 27 | 11.30-13.00 | Intelligent Platooning | Barghi Jond, Hossein | Control of Vehicle Platoons with Collision Avoidance Using Noncooperative Differential Games |
| 724 | PLT01 | 5H | 27 | 11.30-13.00 | Intelligent Platooning | de Haan, Redmer; van der Sande, Tom; Lefeber, Erjen | Observer Based Cooperative Adaptive Cruise Control for Heterogeneous Vehicle Platoons with Actuator Delay |
| 1583 | PLT01 | 5H | 27 | 11.30-13.00 | Intelligent Platooning | Wei, Zhili; Xu, Chuan; Ozbay, Kaan; Yang, Yufeng; YANG, HONG; Zuo, Fan; Yang, Di; Fu, Chuanyun | Investigating Safety of Evasion Maneuver Choices by Human-Driven Vehicles in Response to High-Density Truck Platoons Near Freeway Diverging Areas |
| 651 | PLT01 | 5H | 27 | 11.30-13.00 | Intelligent Platooning | Hoang, The Anh | Optimal distributed signal control for platooning in connected vehicle networks |
| 1469 | PLT02 | 5H | 27 | 15.00-16.30 | Intelligent Platooning | chah, badreddine; Lombard, Alexandre; Bkakria, Anis; ABBAS-TURKI, Abdeljalil; Yaich, Reda | H3PC: Enhanced Security and Privacy-Preserving Platoon Construction Based on Fully Homomorphic Encryption |
| 114 | PLT02 | 5H | 27 | 15.00-16.30 | Intelligent Platooning | JIA, Shaocheng; Cai, Yuzhe; PEI, Xin; Yang, Zi; Wong, Wai; Wong, S.C. | Exploitation of String Stability to Predict Disturbance-triggered Platoon Collisions in Mixed Traffic Comprising Automated and Conventional Vehicles |
| 612 | PLT02 | 5H | 27 | 15.00-16.30 | Intelligent Platooning | Yang, Siwen; Xu, Yunwen; Li, Dewei | Trajectory Optimization for Multi-lane Platoon Formation with Undefined Configurations |
| 1329 | PLT02 | 5H | 27 | 15.00-16.30 | Intelligent Platooning | yang, lei; Liu, Yafei; Sun, Zhanbo; YAN, Qiruo; Qin, Ziye; Wang, Xuting | Stability Analysis of Connected Automated Vehicle Platoon Controller under Unreliable Communication Conditions |
| 1617 | PLT02 | 5H | 27 | 15.00-16.30 | Intelligent Platooning | Ma, Guoqi; Pagilla, Prabhakar Reddy; Darbha, Swaroop | The effect of signal noise and latency in communicated acceleration on time headway in vehicle platooning |
| 246 | PLT02 | 5H | 27 | 15.00-16.30 | Intelligent Platooning | Gaagai, Ramzi; Horn, Joachim | Cooperative Adaptive Cruise Control of Heterogeneous Vehicle Platoons with Bidirectional Communication Using Artificial Potential Fields |
| 876 | PLT03 | 5H | 27 | 17.00-18.00 | Intelligent Platooning | Mahmud, Shoaib; Carydis, Madeleine; Shams, Andalib; Day, Christopher | Calibration of Robertsons Platoon Dispersion Model with Connected Vehicle Data |
| 1543 | PLT03 | 5H | 27 | 17.00-18.00 | Intelligent Platooning | Ji, Junyi; Wang, Yanbing; Barbour, William; Work, Daniel | Platoon Trajectory Reconstruction with Conflict Resolution Using Semidefinite Relaxation |
| 1477 | PLT03 | 5H | 27 | 17.00-18.00 | Intelligent Platooning | Mousavi, Shima Sadat; somayeh bahrami, somayeh; Kouvelas, Anastasios | Expanding the Boundaries of Stability: Enlarging the Region of Attraction in Mixed Platoon Systems |
| 1073 | PLT03 | 5H | 27 | 17.00-18.00 | Intelligent Platooning | Li, Liyou; Lyu, Hao; Cheng, Rongjun | STAdi-DMPC: A Trajectory Prediction Based Longitudinal Control of Connected and Automated Truck Platoon for Mixed Traffic Flow |
| 691 | PORTS01 | 1B | 25 | 14.00-15.00 | Ports and Waterways | Yang, Hexin; Huang, Yamin; Wen, Yuanqiao; Chen, Linying; Zhu, Man | Unit-based Trajectory Planning Methods for MASS in Inland Waters |
| 1606 | PORTS01 | 1B | 25 | 14.00-15.00 | Ports and Waterways | Qiang, Huimin; Xie, Shiyuan; Guo, Zhiyuan; Peng, Xiaodong | SocialVessel: VAE-inspired Multi-Vessel Gated Recurrent Units for Vessel Trajectory Prediction in Port Areas |
| 832 | PORTS01 | 1B | 25 | 14.00-15.00 | Ports and Waterways | Zhang, Xiaocai; FU, xiuju; Xiao, Zhe; Xu, Haiyan; WEI, XIAOYANG; Koh, Jimmy; Ogawa, Daichi; Qin, Zheng | Prediction of Vessel Arrival Time to Pilotage Area Using Multi-Data Fusion and Deep Learning |
| 1613 | PORTS01 | 1B | 25 | 14.00-15.00 | Ports and Waterways | Xin, Li; Yimei, Chen | Numerical Simulation of Collision Avoidance Behavior of Typical Ships in Construction Channel of the Yangtze River |
| 616 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Stenger, David; Reuscher, Tim; Vallery, Heike; Abel, Dirk | Vehicle Cabin Climate MPC Parameter Tuning Using Constrained Contextual Bayesian Optimization (C-CMES) |
| 1186 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Davis, Teyah Kaitlyn | Mind the Gap: Addressing Inaccessibility on the London Underground |
| 503 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Cheng, Zhang; Yang, Letian; Zeng, Lingqiu; cheng, jiqiang; Han, Qingwen | Research on Congestion Control Method Based on Driving Risk Gaming |
| 1485 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Chen, Xu; Wang, Yishi; Di, Xuan | Whose Attitudes Towards Transit Are Most Affected by Rising Subway Crimes in New York City? |
| 255 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Tejada, Arturo; Legius, Michel; Kalose, Abhishek; Vieira Oliveira, Pedro Filipe; van Dam, Esra; Hogema, Jeroen | Towards a Practical Methodology for Defining Competent Driving |
| 1369 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Villarreal, Taylor; Poudel, Bibek; Li, Weizi | Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning |
| 383 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Buchheit, Benedikt; Grün, Tobias; Schneider, Elena N.; Alayan, Mohamad; Strauss, Daniel J. | Motion Sickness Prediction Based on Passengers Self Evaluation |
| 306 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Teikmanis, Oskars; Levinskis, Aleksandrs; Mackus, Andris Ivars; Rušiņš, Artis; Elkenawy, Amr; Tropa, Marta; Greitans, Modris | Automated Vehicle Platform with Connected Driving Capabilities |
| 1569 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Jayawardana, Sanjula; Jayawardana, Vindula; Vidanage, Kaneeka; Wu, Cathy | Multi-behavior Learning for Socially Compatible Autonomous Driving |
| 904 | SS09 | 5H | 27 | 10.00-11.30 | SS09: Artificial intelligence (AI)-driven last-mile logistics | Li, Hongchen; Li, Junqi; An, lianhua; Zhang, Xianhong; Xu, Zhenghao; Hu, Jia | A dispatching method for automated container terminals: What is next when precise execution is available? |
| 1281 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Bartin, Bekir; Jami, Mojibulrahman; Ozbay, Kaan | Estimation of Road Horizontal Alignment Using Public Bus GPS Data |
| 296 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Gim, UJu | Road Condition Anomaly Detection using Self-Supervised Learning from Audio |
| 660 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Zhang, Xiaofei; Xiao, Xin; Yang, Yingkai; Hao, Zhenmao; Li, Jun; WANG, HONG | EEG Signal Analysis for Early Detection of Critical Road Events and Emergency Response in Autonomous Driving |
| 681 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Pichen, Jürgen; Figalová, Nikol; Baumann, Martin | Cant Take My Eyes off You: Increasing Task Involvement in Cooperative Driving With Natural Habituated Interfaces |
| 852 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Gankhuyag, Delgermaa; Olaverri-Monreal, Cristina | Naturalistic Yielding Behavior of Drivers at an Unsignalized Intersection based on Survival Analysis |
| 1459 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Costa, Miguel; Marques, Manuel; Siebert, Felix Wilhelm; Lima Azevedo, Carlos; Moura, Filipe | Scoring Cycling Environments Perceived Safety using Pairwise Image Comparisons |
| 488 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Rodrigues de Almeida, Tiago; Martinez Mozos, Oscar | Likely, light, and accurate context-free clusters-based trajectory prediction |
| 1249 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Zhang, Wenqi; Qin, Yanjun; Zhang, Shanghang; Tao, Xiaoming | Electroencephalogram-based Driver Emotional State Detection with Manifold Learning |
| 1451 | SS26 | 0D | 28 | 10.00-12.30 | SS26: Co-Design and Coordination of Future Mobility Systems | Movaghar, Mahsa; Beherouzi, Saman; Krishnakumari, Panchamy; Hoogendoorn, Serge; van Lint, Hans | Exploring and Enriching the Effect of Different Road Incidents on Traffic Spatiotemporal Characteristics |
| 800 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Certad, Novel; Tschernuth, Sebastian; Olaverri-Monreal, Cristina | Extraction of Road Users Behavior From Realistic Data According to Assumptions in Safety-Related Models for Automated Driving Systems |
| 1111 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Nassif, Elias; Tian, Hanlin; Candela, Eduardo; Feng, Yuxiang; Angeloudis, Panagiotis; Ochieng, Washington | Safety Standards for Autonomous Vehicles: Challenges and Way Forward |
| 1542 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | YI, DEXIN | Complex accident, clear responsibility |
| 1283 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Papamichail, Ioannis; Schoenn-Anchling, Nicolas; Malekzadeh, Milad; Markantonakis, Vasileios; Papageorgiou, Markos | Macroscopic Traffic Flow Model Calibration for Lane-free Automated Vehicle Traffic |
| 1436 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Schachner, Martin; Schneider, Bernd; Weissenbacher, Fabian; Kirillova, Nadezda; Possegger, Horst; Bischof, Horst; Klug, Corina | Identifying and Extracting Pedestrian Behavior in Critical Tra |