The “AI and Future Urban Mobility” track delves into the profound changes Artificial Intelligence (AI) is bringing to urban transportation systems. It aims to highlight the forefront of research that merges AI with urban mobility solutions, tackling the hurdles and seizing the opportunities that arise in the ever-changing urban transport landscape. The primary focus is on the innovation and application of autonomous vehicles, AI-powered traffic management and optimization strategies, the development of smart infrastructure, and the customization of transportation services to individual needs.

Track Chairs:
Yue Guo, Southern University of Science and Technology
Xiang Li, Chang AN University
Lean Yu, Sichuan University

Schedule
2025
Friday, August 15th
12:00 AM

Enhancing Urban Sustainability: The Role of AI-Driven Transportation Systems in Reducing Carbon Footprints

Kyle Nash, Cleveland state university
Hassan A. Ahmed, Cleveland state university
Moataz Aly Soliman, Cleveland state university

12:00 AM

Explaining AI in Autonomous Vehicles: A Path to Trust and Adoption

Junyi Yang, McMaster University
Si Liu, Kent State University
Zhecheng Xie, Columbia University
Xuecong Lu, University at Albany

12:00 AM

Overcoming Semantic Dilution in Transformer-Based Next Frame Prediction

Hy Nguyen, A²I² - Applied Artificial Intelligence Institute
Srikanth Thudumu, Deakin University
Hung Du, Applied Artificial Intelligence Institute
Rajesh Vasa, Deakin University
Kon Mouzakis, Applied Artificial Intelligence Institute, Deakin University

12:00 AM

Towards a Theory of Supply Chain Management through Knowledge Management

Fatemeh Navazi, McMaster University

12:00 AM