Associate Professor
Department of Civil and Environmental Engineering
Department of Industrial Systems Engineering and Management
National University of Singapore
The mission of the Lab for Urban Mobility Systems (LUMOS) is to advance intelligent transportation systems, formulate new design and operational strategies, devise effective solutions to transportation problems, and bridge academic communities with industry to improve the mobility, reliability, and sustainability of transportation systems.
Our lab's research activities has been profiled at IEEE Intelligent Transportation Systems Magazine.We focus on future urban mobility and transport systems, which cover the areas of shared mobility system operation and design, travel demand and congestion management, and data-driven transportation system modeling and analysis.
The research team develops multidisciplinary approaches to address research questions with theoretical contributions and real-world implications for efficient and sustainable transportation system planning and management.
LUMOS aims to disseminate new insights, knowledge, and tools to academia, industry, government, and research organizations worldwide.
Journal | July 2024
Xie, J., Liu, Y., & Chen, N. (2023). Two-sided deep reinforcement learning for dynamic mobility-on-demand management with mixed autonomy. Transportation Science, 57(4), 1019-1046.
Presentation | July 2024
Source: ISTTT25 Podium Session 6: Markov Game for CV Joint Adaptive Routing in Stochastic Traffic Networks: A Scalable Learning Approach, July 16 @ 10:50 am - 11:20 am EDT
News | July 2024
Congratulations!!
Journal | June 2024
This research is published in Transportation Research Part B: Methodological.
Journal | March 2024
This research is published in Transportation Research Part A: Policy and Practice.
We are recruiting phd students and postdoctoral fellows. We are looking for researchers with strong interests and expertise in traffic simulation, mathematical modelling and programming, and data-driven optimization approaches. If you are interested in joining LUMOS, please contact Dr. Liu Yang directly by emailing to iseliuy@nus.edu.sg or ceelya@nus.edu.sg.
