Xiaowei(Tom) Shi

Xiaowei(Tom) Shi

Research Fellow

University of Michigan

Biography

Xiaowei(Tom) Shi is a Research Fellow at the University of Michigan working with Prof. Henry Liu. Before the current appointment, he was a Ph.D. student at the University of South Florida working with Prof. Xiaopeng Li. His research aims to establish a set of methodologies to understand, predict and eventually improve future transportation systems via sensors, controllers, and design variables rendered by emerging technologies (e.g., connected, automated, modular, and electric vehicles). His main research approaches include optimization, statistics, data analysis, and system modeling. He serves as a reviewer for many top-tier journals in the transportation field, including TR Part B, Part C, & Part E, IEEE Transactions on Intelligent Transportation System, IEEE-Intelligent Transportation Systems Magazine, IEEE Transactions on Intelligent Vehicles, etc.

Interests
  • Intelligent Transportation System
  • Connected & Automated Vehicle
  • Modular Vehicle
Education
  • PhD in Civil and Environmental Engineering, 2021

    University of South Florida

  • MEng in Civil and Environmental Engineering, 2020

    University of South Florida

  • MEng in Control Science and Engineering, 2018

    Beijing Jiaotong University

  • BSc in Urban Rail Transit, 2015

    Beijing Jiaotong University

News

  • 2022-5: Will moderate a Breakout Session in Automated Road Transportation Symposium 2022 at Garden Grove, CA, July 18-21. Session title is “Inconsistency of AV Traffic Flow Impact: Predictions in Literature”. Welcome to stop by our session.
  • 2022-3: Research paperThe effect of ride experience on changing opinions toward autonomous vehicle safety” was conferred the Best Paper Runner Up Award of Communications in Transportation Research.
  • 2022-3: Research paperAn Empirical Study on Fuel Consumption of Commercial Automated Vehicles” was accepted by Transportation Research Part D.
  • 2022-1: Received the ITS Florida Anne Brewer Scholarship. Invited to join the Transpo2022 conference in July.
  • 2022-1: Started the Research Fellow appoinment at the University of Michigan.
  • 2021-11: Research paperVideo-based Trajectory Generation for High-Granularity Highway Simulation (HIGH-Sim)” was accepted by Communications in Transportation Research. HIGH-Sim Dataset
  • 2021-10: Research paperModeling Decentralized Mandatory Lane Change for Connected and Autonomous Vehicles” was accepted by Transportation Research Part C.
  • 2021-9: Conducted PhD dissertation defense titled by “Impacts of Automated Vehicle Technologies on Future Traffic”.
  • 2021-7: Research paperThe Effect of Ride Experience on Changing Opinions Toward Autonomous Vehicle Safety” was accepted by Communications in Transportation Research.
  • 2021-6: Interviewed by Florida High Tech Corridor Program about a project related to Vehicle-to-Infrastructure (V2I) communication. Link to the Interview
  • 2021-6: Research paperConstructing a Fundamental Diagram for Traffic Flow with Automated Vehicles: Methodology and Demonstration” was accepted by Transportation Research Part B.
  • 2021-6: Academic presentations at ASCE International Conference on Transportation & Development (ICTD 2021). Presentation topic #1: “Constructing Fundamental Diagram for Traffic Flow with Automated Vehicles: Methodology and Demonstration”; Presentation topic #2: “Empirical Study on Car Following Characteristics of Commercial Automated Vehicles with Different Headway Settings”.

  • 2021-5: Invited to be an Interviewee for filming the 2021 Public Service Announcement Video for USF.
  • 2021-4: Served as a Guest Lecturer for a graduate level course “Connected & Automated Vehicle” at USF. Presentation topic: “Connected & Automated Vehicle-Related Development and Research”.
  • 2021-4: Research paperEmpirical Study on Car Following Characteristics of Commercial Automated Vehicles with Different Headway Settings” was accepted by Transportation Research Part C.
  • 2021-4: Research paperOperations Design of Modular Vehicles on an Oversaturated Corridor with First-in-first-out Passenger Queueing” was accepted by Transportation Science.
  • 2021-3: Participated in Research Lightning Talk Competition hold by Chinese Overseas Transportation Association (COTA) and won Second Prize. Presentation topic: “Impacts of Automated Vehicles on Future Traffic Flow”. Link to the Competition Result
  • 2021-3: Participated in 6th China International College Students’ ‘Internet+’ Innovation and Entrepreneurship Competition hold by Ministry of Education of the People’s Republic of China and won Bronze Prize. Presentation topic: “Modular Autonomous Vehicles Transportation Systems”.
  • 2020-12: Nominated by the National Institute for Congestion Reduction (NICR), received Neville A. Parker – Science & Technology Award (6 recipients per year) from the Council of University Transportation Centers (CUTC). Award paper: “Trajectory Planning for an Autonomous Vehicle with Conflict Moving Objects over a Fixed Path”. Link to the Interview

Publications

*(Shi as the first/corresponding author)

Preprints

  1. *Shi, X., Chen, Z., Li, X. and Qu, X., 2021. Modular autonomous vehicle operations for airport baggage transportation (Under review). Preprint: https://doi.org/10.13140/RG.2.2.11659.11048/1
  2. *Shi, X., Zhao, D. and Li, X., 2021. A Car-Following-Based Method for Vehicle Trajectory Connection (Under review). Preprint: https://doi.org/10.13140/RG.2.2.28609.28001/1
  3. *Shi, X. and Li, X., 2021. Trajectory Planning for an Autonomous Vehicle with Conflicting Moving Objects Along a Fixed Path – An Exact Solution Method (Under review).

Published or Accepted

  1. *Shi, X., Yao, H., Liang, Z. and Li, X., 2022. An Empirical Study on Fuel Consumption of Commercial Automated Vehicles. Transportation Research Part D: Transport and Environment. Preprint: https://doi.org/10.13140/RG.2.2.22363.90407
  2. *Shi, X. and Li, X., 2021. Operations Design of Modular Vehicles on an Oversaturated Corridor with First-in-first-out Passenger Queueing. Transportation Science. Preprint: https://doi.org/10.13140/RG.2.2.28800.87049
  3. *Shi, X., Wang, Z. and Li, X., 2021. The Effect of Ride Experience on Changing Opinions Toward Autonomous Vehicle Safety. Communications in Transportation Research. Preprint: https://doi.org/10.13140/RG.2.2.15902.56648/1
  4. *Shi, X. and Li, X., 2021. Constructing Fundamental Diagram for Traffic Flow with Automated Vehicles: Methodology and Demonstration. Transportation Research Part B: Methodological. Preprint: https://doi.org/10.13140/RG.2.2.25353.67681
  5. *Shi, X. and Li, X., 2021. Empirical Study on Car Following Characteristics of Automated Vehicles with Different Headway Settings. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2021.103134
  6. *Wang, Z., Shi, X., Zhao, X. and Li, X., 2021. Modeling Decentralized Mandatory Lane Change for Connected and Autonomous Vehicles. Transportation Research Part C: Emerging Technologies.
  7. *Shi, X., Zhao, D., Yao, H. and Li, X., 2021. Video-based Trajectory Generation for High-Granularity Highway Simulation (HIGH-Sim). Communications in Transportation Research. Preprint: https://doi.org/10.13140/RG.2.2.30725.06887
  8. *Shi, X., Chen, Z., Pei, M. and Li, X., 2020. Variable-Capacity Operations with Modular Transits for Shared-Use Corridors. Transportation Research Record. https://doi.org/10.1177/0361198120928077
  9. *Wang, W., Zhao, X., Wang, Z., Shi, X. and Xu, Z., 2020. Research on Steering-Following System of Intelligent Vehicle-in-the-Loop Testbed. IEEE Access. https://doi.org/10.1109/ACCESS.2020.2973108
  10. *Wang, G., Shi, X., Cui, H., and Jiao, J., 2020. Impacts of Migration on Urban Environmental Pollutant Emissions in China: A Comparative Perspective. Chinese Geographical Science. https://doi.org/10.1007/s11769-020-1096-1
  11. *Shi, X. and Li, X., 2019, October. Speed planning for an autonomous vehicle with conflict moving objects. In 2019 IEEE Intelligent Transportation Systems Conference. https://doi.org/10.1109/ITSC.2019.8917511
  12. Wang, Z., Shi, X. and Li, X., 2019. Review of lane-changing maneuvers of connected and automated vehicles: models, algorithms, and traffic impact analyses. Journal of the Indian Institute of Science. https://link.springer.com/article/10.1007/s41745-019-00127-7
  13. Wang, Y., Li, Y., Li, M., and Shi, X., 2018. An Optimization Method for Train Seat Inventory Control. International Journal of Software Engineering and Knowledge Engineering. https://doi.org/10.1142/S0218194018400077

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