ABOUT
Professor of Transportation Engineering at Beihang University.
I work at the intersection of transportation systems, sustainable energy, and artificial intelligence. My research develops data-driven methods for more efficient, resilient, and lower-carbon mobility.
I received my Ph.D. and M.S. in Transportation Engineering from the University of Washington and my B.S. in Information Engineering from Beijing Institute of Technology.
I currently serve as Deputy Director of the Key Laboratory of Intelligent Transportation Technology and Systems, Ministry of Education.
Research Focus
Transportation & Energy
Electric mobility, renewable charging infrastructure, and integrated low-carbon transport–energy systems.
Transportation Big Data Analytics
Large-scale mobility data, graph learning, forecasting, and data-driven transport decision-making.
AI for Sustainable Transportation
Artificial intelligence for efficient operations, system resilience, electrification, and decarbonization.
Selected Publications
View all →Cooperative scheduling for multi-fleet battery swapping in electrified mines: A simulation-based optimization approach
Honghui Zou, Kaiqi Zhao, Yanli Liu, Ronghui Zhang, Xiaolei Ma
eTransportation · 28, 100562Leveraging Battery Electric-Bus Charging Networks for Resilient Shared EV Charging via Deep Reinforcement Learning
Zhengke Liu, Yunpeng Wang, Sonia Yeh, Patrick Plötz, Bin Yu, Xiaolei Ma*
Engineering · In pressTransforming public transport depots into profitable energy hubs
Xiaohan Liu, Patrick Plötz, Sonia Yeh, Zhengke Liu, Xiaoyue Liu, Xiaolei Ma*
Nature EnergyDistributed multi-agent deep reinforcement learning for multi-line dynamic bus timetable optimization
Haoyang Yan, Zhiyong Cui, Xinqiang Chen, Xiaolei Ma*
IEEE Transactions on Industrial Informatics · 19(1), 469–479A predictive headway-based bus-holding strategy with dynamic control point selection: a cooperative game theory approach
Zhuang Dai, Xiaoyue Liu, Zhuo Chen, Renyong Guo, Xiaolei Ma*
Transportation Research Part B: Methodological · 125, 29–51Selected Distinctions
Awards & service →Clarivate Highly Cited Researcher
National-level Young Talent
Fellow of the Institution of Engineering and Technology (IET)
Transportation Research Part C: Emerging Technologies
IEEE Transactions on Transportation Electrification