Intelligent Transportation Track
The Intelligent Transportation track aims to explore the advanced techniques, theory, applications, simulations, and architectures of the next generation transportation systems. With the help of emerging artificial intelligence and big data processing techniques, the next generation transportation systems should have good opportunities to overcome the challenges and obstacles in the past. The topics of this track include, but are not limited to, traffic operation theory, driver behaviour, traffic data management, autonomous driving, location-based services, traffic simulation, and edge computing. Our track particularly invites and encourages prospective speakers to share their work, findings, perspectives and developments as related to implementation and deployment of advanced intelligent transportation systems and applications.
Invited Speakers (in alphabetical order)
Filip BILJECKI
Assistant Professor
National University of Singapore, Singapore
Talk Title: Urban Informatics for Sustainable and Liveable Cities
Xingping DONG
Professor
Wuhan University, China
Talk Title: Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction
Tianyi LI
Assistant Professor
Aalborg University, Denmark
Talk Title: Trajectory Compression: From Raw Data to Road Networks
Wei MA
Assistant Professor
The Hong Kong Polytechnic University, China
Talk Title: Decision-Focused Learning in Transportation Operations and Management: Methods and Case Studies
Weiyin SHEN
—
Southeast University, China
Talk Title: Toward Trajectory-Free Accident Detection: A Generative Approach Using Segment Map Diffusion
An WANG
Assistant Professor
The Hong Kong Polytechnic University, China
Talk Title: Local Contexts Matter in Regional Transport Energy Transition: A Mountainous City Perspective
Hao WANG
Professor
Wuhan University, China
Talk Title: Harnessing an Expert Agent Team for Next POI Recommendation