Call For Papers

Towards a New Era of Human-aware, Human-interactive, and Human-friendly ITS

The 26th edition of the IEEE International Conference on Intelligent Transportation Systems (ITSC 2023) is the annual flagship conference sponsored by the IEEE Intelligent Transportation Systems Society (ITSS). This event hosts an attractive agenda of technical  contributions, keynote presentations, tutorials, special sessions, and workshops on topics related to the field of Intelligent Transportation Systems (ITS). The conference aims to gather researchers and practitioners working in this field towards sharing, discussing, and opening new paths in the theory, analysis, simulation, data-based modeling, experimentation, deployment, and case studies embracing transportation and mobility at their core. In particular, ITSC 2023 builds upon its motto to invite and encourage prospective authors to present results, findings, perspectives, and developments related to the implementation and deployment of ITS applications that consider human interaction at the core of their design.

High-quality works presented in ITSC 2023 will be invited for their extension and submission to a special issue in IEEE Transactions on Intelligent Transportation Systems, in selected topics related to the scope of the conference. Details will be provided soon.

 

Important Deadlines

  • February 15th February 24th 2023 – Proposal due for special sessions
  • March 1st March 8th 2023 – Proposal due for workshops/tutorials/industrial sessions
  • May 15th, 2023 May 22nd, 2023 May 28th, 2023– Submission deadline for regular, special session, and workshop papers (strict, no further extensions will be granted)
  • June 30th, 2023 July 10th, 2023 – Notification of paper acceptance
  • July 31st, 2023 August 15th, 2023 – Final paper submission deadline
Download CFP
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Topics of Interest

The topics of interest include and but are not limited to the following:

• Advanced public transportation management
• Advanced transportation safety systems
• AI, Machine Learning and Deep learning for ITS
• Air, road, and rail traffic management
• Behavioral modeling in ITS
• Connected and automated vehicles
• Cooperative driving technologies
• Cyber-physical-social systems for ITS
• Driver and traveler support systems
• Education in ITS
• Electrified transportation systems
• Human factors and HMI
• ITS field tests and implementation
• Intelligent logistics
• Management of incidents and evacuation

• Modeling and detection of vulnerable road
users/animals
• Naturalistic driving datasets and data analytics
• New technological trends in ITS
• Ports, waterways, and vessel traffic management
• Public policy, regulatory and societal issues in ITS
• Security, privacy, and safety systems
• Sensors, detectors, and actuators in ITS
• Social Cognitive Autonomous Driving
• Shared and smart mobility
• Traffic theory for ITS
• Transportation networks
• Trustworthy AI (XAI) for ITS
• Vehicle localization, object tracking, and navigation
• Vision and environment perception
• V2X communications in ITS