CN | EN
Faculty & Staff
QU Xiaobo

E-mail:xiaobo@tsinghua.edu.cn

Office:Room A486, Lee Shau-kee Science and Technology Building, Tsinghua University

Education

- Chalmers University of Technology, Sweden 2020

Graduate Diploma of Learning and Teaching in Higher Education

- National University of Singapore (NUS), Singapore 2012

Ph.D. in Transport Engineering

- Tsinghua University, Beijing, P.R. China 2008

Master of Industrial Engineering

- Jilin University, Changchun, P.R. China 2005

Bachelor of Engineering in Transport Engineering

Work Experience

- Chair Professor, Department of Architecture and Civil Engineering, Chalmers University of Technology, Sweden April 2020–Dec 2021

- Professor, Department of Architecture and Civil Engineering, Chalmers University of Technology, Sweden Mar 2018–Mar 2020

- Senior Lecturer, School of Civil and Environmental Engineering, University of Technology Sydney, Australia July 2016–Feb 2018

- Lecturer/Senior Lecturer, Griffith School of Engineering, Griffith University, Australia Feb 2012–June 2016

Teaching

1. Consistent high-level teaching performance in Singapore, Australia, Sweden and China;

2. Two teaching commendations at university level, and five teaching awards in faculty level;

3. Graduate Diploma of Learning and Teaching in Higher Education, conferred by Chalmers University of Technology;

4. Supervision 13 PhD students towards graduation as their principal supervisor;

5. STINT Award for Teaching Sabbaticals in 2020;

6. Five pedagogical publications in learning and teaching;

7. Guided students at Tsinghua University to receive 2 National Scholarships, 2 First-Class Scholarships, 2 Outstanding Undergraduate Thesis/Graduate awards, and 3 prizes (Second and Third) in the "Challenge Cup" competition.

Research

1. His groundbreaking work has led to the development of a series of disruptive vehicular tools and vehicle-city interconnectivity, which have markedly improved the efficiency of our transportation infrastructure by an astounding 30% to 70%.

2. He is committed to redefining urban transportation structures and driving the three-dimensional transformation of mobility, while also proposing operational and management strategies for low-altitude transportation.

3. He has conducted systematic and cutting-edge research in urban and road situation perception and digital twins, developing digital models within the transportation system at multiple scales, from automotive components to urban roads.

4. He has made significant strides in applying artificial intelligence (AI) and large language models (LLM) techniques to solve transportation problems, and creating far-reaching solutions for AI-informed future intelligent transportation systems.

【Grants】

1. Autonomous and Intelligent Traffic Control. Funded by National Natural Science Foundation of China via its Distinguished Innovative Group Scheme. Co-PI, with Wang, Fang, Yu, and Tian. Jan 2026 to Dec 2030.2. Tsinghua University (State Key Laboratory of Intelligent Green Vehicle and Mobility) - Hangzhou Airport Economic Demonstration Zone Joint Research Center for Integrated Transportation, A joint research institution established with local government. Aug 2024 to Jul 2029.

3. Digitalization and Twin Systems of Transportation Equipment, Funded by National Natural Science Foundation of China Key Research and Development Program. Dec 2023 to Nov 2026.

4. Cognitive Enhancement Theory and Progressive Learning Models for Autonomous Driving. Funded by Ministry of Education of China. Jan 2025 to Jan 2030.

5. Composite-Wing Electric Modular Flying Car. Funded by Chery Automobile Co., Ltd. Dec 2023 to Sep 2025.

6. Electric, Modular, and Autonomous Buses for Sustainable Urban Transport Systems. Funded by National Science Foundation of China. Jan 2023 to Dec 2027, with Li and Bie.

7. ATEM: Accelerating transport electrification via machine learning. Funded by EU. April 2021 to April 2023, with Liu.

8. ICV-Safe: Testing safety of intelligent connected vehicles in open and mixed road environment. Funded by Swedish Innovation Agency - Vinnova. Aug 2020 to Sep 2023, with Chen, Wu, Gao, Johanson.

9. Thermal safety management for vehicle battery systems. Funded by Swedish Innovation Agency - Vinnova. Sep 2020 to Aug 2023, with Wik, Zou, et al.

10. e-PT: Transition to electric Public Transit systems: Infrastructure planning, transit design and operations, and individualized battery management. Funded by Chalmers AoA Energy Foundation. Jan 2021 to Dec 2022, with Kulscar et al.

11. SOSER: System of Systems of efficient emergency services and smart urban mobility. Funded by Swedish Innovation Agency – Vinnova. April 2019 to April 2022, with Chen, Blomsterberg, Tasic, Zou, et al.

12. HIEM: Holistic and integrated emergency management technology & equipment in the event of traffic accisdents. Funded by Swedish Innovation Agency – Vinnova. Mar 2019 to Feb 2022, with Wang, Blomsterberg, Tasic, Zou, et al.

13. Sustainable mixed urban transit system with electric and conventional buses. EU JPI Urban Europe. April 2019 to April 2022, with Lu, Zhao, Tørset and Yu.

Publications

1. Liu, M., Hao, H., Sun, X., Geng, Y., Reiner, D., Hubacek, K., Qu, X., Lu, J., You, F., & Zhao, F. (2025). The potential for differentiated vehicle segment tariffs. Nature Energy. Advance online publication. https://doi.org/10.1038/s41560-025-01798-6.

2. Wang, K., Li, A., Qu, X., 2023. Urban aerial mobility: Network structure, transportation benefits and Sino-US comparison. The Innovation, 100393.

3. Qu X., Zhong L., Zeng Z., Tu H., and Li X., 2022. Automation and connectivity of electric vehicles: Energy boon or bane? Cell Reports Physical Science, 3 (8), 101002

4. Basso, R., Kulcsar, B., Sanchez-Diaz, I., Qu, X., 2022. Dynamic Stochastic Electric Vehicle Routing with Safe Reinforcement Learning. Transportation Research Part E, 157, 102496.

5. Chen Z, Li X, and Qu X., 2022. A continuous model for designing corridor systems with modular autonomous vehicles enabling station-wise docking. Transportation Science, 56(1), 1-30.

6. Wu J, Kulcsár B, Selpi, Qu X., 2021. A Modular, Adaptive, and Autonomous Transit System (MAATS): A In-motion Transfer Strategy and Performance Evaluation in Urban Grid Transit Networks. Transportation Research Part A: Policy and Practice, 151, 81-98.

7. Zhang L, Wang S, and Qu X, 2020. Optimal electric bus fleet scheduling considering battery degradation and non-linear charging profile. Transportation Research Part E: Transportation and Logistics Review, 154, 102445, (also part of ISTTT2022 - acceptance rate: 10%).

8. Wu J, Ahn S, Zhou Y, Liu P, Qu X., 2021. The cooperative sorting strategy for connected and automated vehicle platoons. Transportation Research Part C: Emerging Technologies, 123, 102986.

9. Zhou M, Yu Y, Qu X., 2020. Development of an Efficient Driving Strategy for Connected and Automated Vehicles at Signalized Intersections: A Reinforcement Learning Approach. IEEE Transactions on Intelligent Transportation Systems, 21(1): 433-443.

10. Wu J, Kulcsár B, Ahn S, Qu X., 2020. Emergency vehicle lane pre-clearing: From microscopic cooperation to routing decision making. Transportation Research Part B: Methodological, 141: 223-239.

11. Varga B, Tettamanti T, Kulcsár B, Qu X., 2020. Public transport trajectory planning with probabilistic guarantees. Transportation Research Part B: Methodological, 139: 81-101.

12. Qu X, Yu Y, Zhou M, Lin C, Wang X., 2020. Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach. Applied Energy, 257, 114030.

13. Wang S, Yan R, Qu X., 2019. Development of a non-parametric classifier: Effective identification, algorithm, and applications in port state control for maritime transportation. Transportation Research Part B: Methodological, 128: 129-157.

14. Li X, Medal H, Qu X., 2019. Connected infrastructure location design under additive service utilities. Transportation Research Part B: Methodological, 120: 99-124.

15. Wang S, Zhang W, Qu X., 2018. Trial-and-error train fare design scheme for addressing boarding/alighting congestion at CBD stations. Transportation Research Part B: Methodological, 118: 318-335.

16. Li X, Ghiasi A, Xu Z, Qu X., 2018. A piecewise trajectory optimization model for connected automated vehicles: Exact optimization algorithm and queue propagation analysis. Transportation Research Part B: Methodological, 118: 429-456.

17. Zhou M, Qu X, Li X., 2017. A recurrent neural network based microscopic car following model to predict traffic oscillation. Transportation Research Part C: Emerging Technologies, 84: 245-264.

18. Zhou M, Qu X, Jin S., 2017. On the Impact of Cooperative Autonomous Vehicles in Improving Freeway Merging: A Modified Intelligent Driver Model-Based Approach. IEEE Transactions on Intelligent Transportation Systems, 18(6): 1422-1428.

19. Qu X, Zhang J, Wang S., 2017. On the stochastic fundamental diagram for freeway traffic: Model development, analytical properties, validation, and extensive applications. Transportation Research Part B: Methodological, 104: 256-271.

20. Qu X, Wang S, Zhang J., 2015. On the fundamental diagram for freeway traffic: A novel calibration approach for single-regime models. Transportation Research Part B: Methodological, 71: 91-102.

Awards

1. ScholarGPS Highly Ranked Scholar - Prior 5 Years 2024;

2. Elsevier’s Highly Cited Chinese Researchers 2022/2023/2024;

3. Stanford/Elsevier’s Top 2% Scientists 2022/2023/2024/career;

4. Second Place in Amazon KDD Cup 2022 (known as the world cup of data mining);

5. Elected member, Academia Europaea-The Academy of Europe, 2020-.

6. Australian Government Endeavor Cheung Kong Fellowship, 2017;

7. Minister’s Innovation Award, Ministry of Transport Singapore, 2010;

8. President’s Graduate Fellowship, Ministry of Education, Singapore, 2010;

9. Elected Fellow of IET;

10. IEEE ITS Society Research Award Certificate of Merit;

11. First prize of China Robot and Artificial Intelligence Competition (Robot Application Track), Champion of Real Car Invitational competition;

12. Third Place of Onsite Autonomous Driving Algorithm Challenge Competition.

Academic Services

1. Panel member/assessor, ERC, Dutch NOW, Australian Research Council, Hong Kong Research Grants Council, European Science Foundation;

2. Foundation Editor in Chief, Communications in Transportation Research (SCI&SSCI indexed, impact factor = 14.5, ranked 1st among 58 journals in TRANSPORTATION category in JCR); Executive Editor in Chief, Journal of Intelligent and Connected Vehicles;

3. Associate Editor, IEEE Trans on Cybernetics, IEEE ITS Magazine, ASCE Journal of Transportation Engineering, ASCE ASME Journal of Risk and Uncertainty in Engineering Systems, Transportmetrica B;

4. Chair of transport modelling, World Congress for Transport Research Society;

5. Editorial board member, The Innovation (Cell Press’ flagship general journal with a real time impact factor of 30), Transportation Research Part A, Part E, Computer Aided Civil and Infrastructure Engineering;

6. Chair of best paper award committee, ASCE ASME Journal of Risk and Uncertainty in Engineering Systems;

7. Program co-chair, IEEE Intelligent Transportation Systems Conference 2025;

8. Conference general chair, KES Smart Transportation Systems Conference;

9. Keynote speakers over 30 times in the US, Australia, Singapore, China, and Europe;

School of Vehicle and Mobility,Tsinghua University

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