October 29, 13:00 (Swedish time)
Title: AI and Transportation Engineering: Case Studies, trends and some thoughts
In this talk, a few case studies will be presented with regard to the applications of AI in transportation engineering. It will begin with a brief introduction to the discipline of transportation engineering - origin, progression and future trend. Subsequently the speaker will talk about how AI can reshape transportation engineering research and practice. The case studies include trajectory planning of connected and automated vehicles, pricing of shared mobility, traffic state estimation and flow prediction, and behavioral choice models.
Xiaobo Qu is a Full Professor with a Chair in the Department of Architecture and Civil Engineering, Chalmers University of Technology in Sweden. His research is focused on improving large, complex and interrelated urban mobility systems by integrating with emerging technologies. More specifically, his research has been applied to the improvement of emergency services, and operations of electric vehicles and connected automated vehicles. He has authored or co-authored over 120 journal articles published at top tier journals, including 14 ESI highly cited papers. Before his current appointment, he was a professor (with tenure) at Chalmers (2018-2019), and a senior lecturer/lecturer (permanent positions, 2012-2017) in two Australian universities. He is an elected Member of Academia Europaea–the Academy of Europe since Aug 2020, and an elected Fellow of the European Academy of Sciences since Jan 2020.
29 October, 2021, 13:00
29 October, 2021, 13:45