Welcome to Lab for Urban Mobility Systems (LUMOS) at NUS
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.
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.
Our lab’s research activities has been profiled at IEEE Intelligent Transportation Systems Magazine[1].
[1] Lab for Urban Mobility Systems [ITS Research Lab]” in IEEE Intelligent Transportation Systems Magazine, vol. 14, no. 2, pp. 222-225, March-April 2022, doi: 10.1109/MITS.2022.3141577.
Joining LUMOS
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.
Our Research
For more detail, you can visit research or Lab for Urban Mobility Systems [ITS Research Lab].
Dr. Liu Yang (刘杨)
Associate Professor
Department of Civil and Environmental Engineering
Department of Industrial Systems Engineering and Management
National University of Singapore
News
Nov 2023New paper! Zhu, D., Xie, T., Liu, Y., Zou, B., Rujeerapaiboon, N. (2023) Optimal Deployment of an Equitable Cav Platoonable Corridor On Road Networks with Mixed Traffic Flow has been published in Transportation Research Part C: Emerging Technologies .
May 2023New paper! Chen, E., Liu, Y., and Yang, M. (2023) Revealing Senior Mobility Patterns and Activities in Urban Transit Systems has been published in IEEE Transactions on Intelligent Transportation Systems .
Apr 2023New paper! Gu, R., Liu, Y., and Poon, M. (2023) Dynamic truck–drone routing problem for scheduled deliveries and on-demand pickups with time-related constraints has been published in Transportation Research Part C.
Jan 2023Dr. Liu Yang, Dr. Xie Tinting, and Miss Zhu Dan presented our lastest works in Transportation Research Board, 102nd Annual Meeting!
Jan 2023New paper! Xie J., Liu Y., and N. Chen (2022) Two-Sided Deep Reinforcement Learning for Dynamic Mobility-on-Demand Management with Mixed-Autonomy has been published in Transportation Science.
Sep 2022New paper! Liu Y., Xie J., N. Chen (2022) Stochastic One-way Carsharing Systems with Dynamic Relocation Incentives through Preference Learning published in Transportation Research Part E: Logistics and Transportation Review,.
Aug 2022New paper! Xie, J., Yang, Z., Lai, X., Liu Y.*, Yang, X., Teng T., and Tham CK (2022) Deep Reinforcement Learning for Dynamic Incident-Responsive Traffic Information Dissemination published in Transportation Research Part E: Logistics and Transportation Review,.
Aug 2022New paper! Chen, Y. and Liu Y.* (2022) Integrated Optimization of Planning and Operations for Shared Autonomous Electric Vehicle Systems published in Transportation Science.
July 2022New paper! Xie, T. and Liu Y.* (2022) Heterogeneous Information Provision on Traffic Networks with Competitive or Cooperative Information Providers published in Transportation Research Part C: Emerging Technologies.