Xinling Li

Ph.D in Transportation

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Building 32, D640

32 Vassar St

Cambridge, MA 02139

I am a Ph.D at MIT in Transportation supervised by Prof.Gioele Zardini. I am affliated with the Laboratory for Information & Decision Systems (LIDS). My research focuses on the design and operation control of Autonmous Mobility-on-Demand (AMoD) service, as well as its interaction with the existing infrastructures. I am interested in combining optimization, learning, and game theory to solve planning and control problems in networked systems.

Prior to MIT, I obtained my bachelor’s degree in Traffic Engineering from Tongji University in China, and my master’s degree in Mobility and Data Science from EPFL, Lausanne in Switzerland. During my masters’ year, I had the honor to exchange in the Machine Learning for Smart Mobility (MLSM) lab at DTU in Denmark, under the supervision of Prof.Filipe Rodrigues.

Check the webpage Zardini Lab for more information about our lab!

News

Feb 04, 2026 I will be presenting our work ‘Accelerating High-Capacity Ridepooling in Robo-Taxi Systems’ in the 2026 IEEE International Conference on Robotics & Automation (ICRA) in Vienna.
Feb 02, 2026 Our new paper on ‘Reproducibility in the Control of Autonomous Mobility-on-Demand Systems’ is accpeted to TR-O. The preprint is available here :sparkles:
Jan 13, 2026 Our new paper ‘Accelerating High-Capacity Ridepooling in Robo-Taxi Systems’ is accepted to RA-L. Check the paper here :sparkles:

Selected publications

  1. TR-O
    Reproducibility in the Control of Autonomous Mobility-on-Demand Systems (in press)
    Xinling Li, Meshal Alharbi, Daniele Gammelli, and 7 more authors
    arXiv preprint arXiv:2506.07345, 2025
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  2. RA-L
    Accelerating High-Capacity Ridepooling in Robo-Taxi Systems
    Xinling Li, Daniele Gammelli, Alex Wallar, and 2 more authors
    IEEE Robotics and Automation Letters, 2026
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  3. T-ITS
    Learning Joint Rebalancing and Dynamic Pricing Policies for Autonomous Mobility-on-Demand
    Xinling Li, Carolin Schmidt, Daniele Gammelli, and 1 more author
    IEEE Transactions on Intelligent Transportation Systems, 2025
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  4. TR-C
    One-step gibbs sampling for the generation of synthetic households
    Marija Kukic, Xinling Li, and Michel Bierlaire
    Transportation Research Part C: Emerging Technologies, 2024
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