Workshop on Dependable and Reliable Artificial Intelligence for Intelligent Transportation System

(Submission code: 3d9q3)

Oct 2022

Recent years have witnessed the rapid progress of ARTIFICIAL INTELLIGENCE and its applications in INTELLIGENT TRANSPORTATION SYSTEMS (ITS). Among the key characteristics, safety lies in the nature of ITS. Many recent advances, however, are hardly reliable due to the black-box property of the neural networks model. Thus, how to design dependable and reliable artificial intelligence techniques for ITS becomes a vital issue.

This workshop aims to BRING TOGETHER ACTIVE RESEARCHERS FROM INTERDISCIPLINARY RESEARCH FIELDS in intelligent transportation systems, signal processing, artificial intelligence, and autonomous driving vehicles and discuss their most recent research results, emphasizing safe driving with dependable and reliable artificial intelligence techniques. in the community to consolidate cross-discipline insights, IDENTIFY AND ENCOURAGE NEW RESEARCH DIRECTIONS, and ultimately foster the growth of dependable and explainable artificial intelligence techniques for ITS.


We invite researchers to submit their recent works related to the following topics.


The expected submissions include but are not limited to the following list of topics:

   - Robustness of AI for ITS
   - Explainable AI for ITS
   - Adversarial factors in ITS and autonomous driving
   - Verification techniques for ITS
   - Generic safety goals in the ITS
   - Privacy issues in ITS and autonomous driving
   - Risk-aware decision making for autonomous driving
   - Certificatable AI for ITS
   - Cyber security in ITS and autonomous driving
   - Vulnerable road users recognition and prediction
   - Dangerous and abnormal road surface conditions recognition
   - Reliable and dynamic edge resource allocation in V2X scenarios
   - Digital twin techniques for safer ITS
   - Modelling of AI philosophy in ITS and autonomous driving


Potential contributing authors to this workshop will have the option to submit full-length manuscripts for full peer reviews if they would like their papers to be included in the conference proceedings, which requires the submitted papers must be an unpublished work on the topics summarized above. The submissions aiming to be indexed by the IEEE Xplore will undergo full peer review by 3-5 program committee members or external reviewers invited by the organizers. There is neither a rebuttal nor a second review cycle.

We also welcome papers that have published in other venues to be presented in the workshop. Note, the previous published works will NOT go through the peer-review process and will not be covered in the conference proceedings. Those who want to present their the previous published works should contact the workshop organizers directly to discuss the potential talks.


Papers must be submitted through the conference submission website Papercept.
When submiting through the Papercept website,
  - Choose ITSC 2022 conference
  - Select the type of submission Workshop papers
  - Fill in the information required therein, the instructions can be found here
  - Submission Code for this workshop: 3d9q3
All manuscripts should comply with the ITSC conference template guidance. For formatting instructions and LaTeX or Word templates please refer to the ITSC submission guidelines.


Paper submission deadline:
Acceptance notification to authors:
Camera-ready deadline:
Apr. 15, 2022 11:59 p.m. Pacific Time
May 15, 2022 11:59 p.m. Pacific Time
Jun. 1, 2022 11:59 p.m. Pacific Time


The Best Paper will be selected by the program committee.

Contact: Please email if any enquires.