Publications

Journal articles, conference papers, and preprints.

2026

  1. Anticipatory demand planning for microtransit with strategic use of latent capacity at fixed stops
    Hongli Li, Zengxiang Lei, Xinwu Qian, and Satish V. Ukkusuri
    Transportation Research Part E: Logistics and Transportation Review, 2026
    DOI
  2. Stable GFlowNets with probabilistic guarantees
    Zengxiang Lei, Ananth Shreekumar, Jonathan Rosenthal, Ruoyu Song, Alvaro A. Cardenas, Daniel J. Fremont, Dongyan Xu, Satish V. Ukkusuri, and 1 more author
    2026
    arXiv preprint arXiv:2605.01729
    arXiv

2025

  1. Assessing the risks of adversarial booking attack to autonomous mobility-on-demand services
    Zengxiang Lei and Satish V. Ukkusuri
    Transportation Research Part C: Emerging Technologies, 2025
    DOI Code
  2. Cybersecurity for next-generation road transportation: A review
    Satish Ukkusuri, Omar Faruqe Hamim, Zengxiang Lei, Eunhan Ka, M. Sabbir Salek, Mashrur Chowdhury, M. Hadi Amini, Alvaro A. Cardenas, and 1 more author
    ACM Journal on Autonomous Transportation Systems, 2025
    DOI
  3. D4+: Emergent adversarial driving maneuvers with approximate functional optimization
    Diego Ortiz Barbosa, Luis Burbano, Carlos Hernandez, Zengxiang Lei, Younghee Park, Satish V. Ukkusuri, and Alvaro A. Cardenas
    2025
    arXiv preprint arXiv:2505.13942
    arXiv

2024

  1. Modeling hurricane evacuation/return under compound risks: Evidence from Hurricane Ida
    Zengxiang Lei, Rajat Verma, Laura K. Siebeneck, and Satish V. Ukkusuri
    International Journal of Disaster Risk Reduction, 2024
    DOI
  2. Household evacuation decision making during simultaneous events: Hurricane Ida and the COVID-19 pandemic
    Laura K. Siebeneck, Zengxiang Lei, Prabin Sharma, Rajat Verma, Mac Osazuwa-Peters, and Satish V. Ukkusuri
    International Journal of Disaster Risk Reduction, 2024
    DOI
  3. Assessing metro network vulnerability with turn-back operations: A Monte Carlo method
    Xiaolei Liu, Zengxiang Lei, and Zhengyu Duan
    Physica A: Statistical Mechanics and its Applications, 2024
    DOI
  4. METS-R SIM: A simulator for multi-modal Energy-optimal Trip Scheduling in Real-time with shared autonomous electric vehicles
    Zengxiang Lei, Jiawei Xue, Xiaowei Chen, Xinwu Qian, Charitha Saumya, Mingyi He, Stanislav Sobolevsky, Milind Kulkarni, and 1 more author
    Simulation Modelling Practice and Theory, 2024
    DOI Website
  5. Modeling the influence of charging cost on electric ride-hailing vehicles
    Xiaowei Chen, Zengxiang Lei, and Satish V. Ukkusuri
    Transportation Research Part C: Emerging Technologies, 2024
    DOI
  6. Comparison of home detection algorithms using smartphone GPS data
    Rajat Verma, Shagun Mittal, Zengxiang Lei, Xiaowei Chen, and Satish V. Ukkusuri
    EPJ Data Science, 2024
    DOI
  7. Flexible microtransit scheduling with time sensitive travelers
    Hongli Li, Zengxiang Lei, and Satish V. Ukkusuri
    In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 2024

2023

  1. Scalable reinforcement learning approaches for dynamic pricing in ride-hailing systems
    Zengxiang Lei and Satish V. Ukkusuri
    Transportation Research Part B: Methodological, 2023
    DOI Code

2022

  1. Online eco-routing for electric vehicles using combinatorial multi-armed bandit with estimated covariance
    Xiaowei Chen, Jiawei Xue, Zengxiang Lei, Xinwu Qian, and Satish V. Ukkusuri
    Transportation Research Part D: Transport and Environment, 2022
    DOI
  2. Understanding the recovery of on-demand mobility services in the COVID-19 era
    Zengxiang Lei and Satish V. Ukkusuri
    Journal of Big Data Analytics in Transportation, 2022
    DOI
  3. Ridership prediction and anomaly detection in transportation hubs: An application to New York City
    Mingyi He, Urwa Muaz, Hong Jiang, Zengxiang Lei, Xiaowei Chen, Satish V. Ukkusuri, and Stanislav Sobolevsky
    The European Physical Journal Special Topics, 2022
    DOI
  4. Prediction of road-level energy consumption of battery electric vehicles
    Xiaowei Chen, Zengxiang Lei, and Satish V. Ukkusuri
    In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022
    DOI

2021

  1. ADDS-EVS: An agent-based deployment decision-support system for electric vehicle services
    Zengxiang Lei, Jiawei Xue, Xiaowei Chen, Charitha Saumya, Xinwu Qian, Mingyi He, Stanislav Sobolevsky, and Satish V. Ukkusuri
    In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021
    DOI
  2. How information heterogeneity influences traffic congestion during hurricane evacuation
    Rajat Verma, Zengxiang Lei, Jiawei Xue, Jiayun Shen, Hemant Gehlot, Satish V. Ukkusuri, and Pamela Murray-Tuite
    In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021
    DOI
  3. Real-time ridesharing for transportation hubs with demand and supply uncertainty
    Zengxiang Lei, Xinwu Qian, Xiaowei Chen, and Satish V. Ukkusuri
    In Transportation Research Board Annual Meeting, 2021
    Paper No. 21-04371

2020

  1. Impact of transportation network companies on urban congestion: Evidence from large-scale trajectory data
    Xinwu Qian, Tian Lei, Jiawei Xue, Zengxiang Lei, and Satish V. Ukkusuri
    Sustainable Cities and Society, 2020
    DOI
  2. Efficient proactive vehicle relocation for on-demand mobility service with recurrent neural networks
    Zengxiang Lei, Xinwu Qian, and Satish V. Ukkusuri
    Transportation Research Part C: Emerging Technologies, 2020
    DOI
  3. Efficient subspace clustering for road traffic pattern and anomaly analysis
    Zengxiang Lei, Xinwu Qian, Xiaowei Chen, and Satish V. Ukkusuri
    In Transportation Research Board Annual Meeting, 2020
    Paper No. 20-01664
  4. Demand-adaptive transit design for urban transportation hubs
    Xinwu Qian, Jiawei Xue, Zengxiang Lei, Juan Suarez, and Satish V. Ukkusuri
    In Transportation Research Board Annual Meeting, 2020
    Paper No. 20-01285
  5. Impact of transportation network companies on urban congestion
    Xinwu Qian, Tian Lei, Jiawei Xue, Zengxiang Lei, and Satish V. Ukkusuri
    In Transportation Research Board Annual Meeting, 2020
    Paper No. 20-02381

2019

  1. Optimal proactive vehicle relocation for on-demand mobility service with deep Convolution-LSTM network
    Zengxiang Lei, Xinwu Qian, and Satish V. Ukkusuri
    In 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019
    DOI

2018

  1. Using matrix decomposition method to understand the structure of metro travel demand
    Zhengyu Duan, Zengxiang Lei, H. Michael Zhang, Haifeng Li, and Dongyuan Yang
    In Transportation Research Board Annual Meeting, 2018
    Paper No. 18-02468
  2. Understanding the structure of taxi travel demand via stable principal component pursuit: A case study in Xiamen, China
    Zhengyu Duan, Zengxiang Lei, Haifeng Li, Ke Wang, and Dongyuan Yang
    In Transportation Research Board Annual Meeting, 2018
    Paper No. 18-04753
  3. Using ALPR data to analyze the impact of TDM policy on vehicle users’ travel behaviors
    Yujiao Chang, Zhengyu Duan, Dongyuan Yang, and Zengxiang Lei
    In Transportation Research Board Annual Meeting, 2018
    Paper No. 18-02765

2017

  1. Understanding evacuation and impact of a metro collision on ridership using large-scale mobile phone data
    Zhengyu Duan, Zengxiang Lei, Michael H. Zhang, Weifeng Li, Jia Fang, and Jian Li
    IET Intelligent Transport Systems, 2017
    DOI
  2. Using longitudinal mobile phone data to understand the stability of individual travel patterns: Case study of three communities in Shanghai, China
    Zhengyu Duan, Chun Wang, H. Michael Zhang, Zengxiang Lei, Haifeng Li, and Dongyuan Yang
    Transportation Research Record, 2017
    DOI

2016

  1. Understanding evacuation patterns of a metro collision accident using large-scale mobile phone data
    Zhengyu Duan, Zengxiang Lei, Michael H. Zhang, Weifeng Li, Jia Fang, and Jian Li
    In Transportation Research Board Annual Meeting, 2016
    Paper No. 16-3207