Xiaobo Qu

Chair Professor of Urban Mobility Systems (0%), Architecture and Civil Engineering
Member, Academia Europaea-The Academy of Europe

Xiaobo's research is focused on large, complex and interrelated urban mobility systems in the era of emerging vehicular and communication technologies. More specifically, his research has been applied to improvement of emergency services, operations of electric vehicles and connected automated vehicles, and management of vulnerable road users. He has authored or co-authored over 130 journal articles published at top tier journals, many of which are appeared at journals with broader impact than his own research community.

He is a recipient of many prestigious awards, including Ministry of Transport Minister's Innovation Award, Australian Department of Education Endeavor Cheung Kong Fellowship, etc. His research has been supported by Australian Research Council Discovery Programme, Swedish Innovation Agency Vinnova, STINT, and European Union. In recognition of his academic standing, he was invited to serve as an assessor or panel member for many prestigious schemes, including Dutch NWO VICI program, HK RGC Theme Based Grant, Australian ARC Centre of Excellence, Future Fellowship, Singapore Ministry of Education Thematic Programme, etc. He is an elected Member of Academia Europaea - the Academy of Europe.

Since Dec 2021, he is teaching in Tsinghua University with full time capacity.
ACE050 Transportation Engineering, 
ACE055 Advanced Transport Systems 

​​​My three most important publications
1. Wang, S., Zhang, W., and Qu, X.*, 2018. Trial-and-error train fare design scheme for addressing boarding/alighting congestion at CBD stations. Transportation Research Part B, 118, 318-335. 
2. Li, X., Ghiasi, A., Xu, Z., and Qu, X. *, 2018. A Piecewise Trajectory Optimization Model for Connected Automated Vehicles: Exact Optimization Algorithm and Queue Propagation Analysis. Transportation Research Part B, 118, 429-456. 
3. Li, X., Medal, H., Qu, X.*, 2018. Connected Heterogeneous Infrastructure Location Design under Additive Service Utilities. Transportation Research Part B, 120 , 99-124.
4. Qu, X.*, Zhang, J., and Wang, S., 2017. On the Stochastic Fundamental Diagram for Freeway Traffic: Model Development, Analytical Properties, Validation, and Extensive Applications. Transportation Research Part B, 104, 256-271. 
5. Qu, X.*, Wang, S., and Zhang, J., 2015. On the fundamental diagram for freeway traffic: A novel calibration approach for single-regime models. Transportation Research Part B, 73, 91-102​
​Chalmers Areas of Advance:
Information and Communication Technology

Page manager Published: Fri 17 Dec 2021.