Xiaobo Qu

Full Professor/Chair (Forskargruppsledare) of Urban Mobility Systems, Architecture and Civil Engineering

Xiaobo Qu is a Full Professor with chair (Chair Professor) in the Department of Architecture and Civil Engineering, Geology and geotechnics, research group Urban Mobility Systems, Chalmers University of Technology in Sweden. His research is focused on large, complex and interrelated urban mobility systems. 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 110 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. His research has been supported by Australian Research Council Discovery Programme, Swedish Innovation Agency Vinnova, STINT, and European Union. Before his current appointment, he was a professor at Chalmers (2018-2019), and a senior lecturer/lecturer (2012-2017) in two Australian universities. 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 Future Fellowship, etc. He is a Member of Academia Europaea - the Academy of Europe.
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​
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​Chalmers Areas of Advance:
Energy
Transport
Information and Communication Technology

Published: Fri 14 Aug 2020.