Publications

Journal

Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network
Baichuan Mo, Qing Yi Wang^*, Xiaotong Guo, Matthias Winkenbach, Jinhua Zhao. Transportation Research Part E: Logistics and Transportation Review, Forthcoming, 2023

[Paper]   [Code]




Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty
Baichuan Mo^*, Haris N. Koutsopoulos, Max Zuo-Jun Shen, Jinhua Zhao. Transportation Research Part B: Methodological, Forthcoming, 2023

[Paper]




Proof of Travel for Trust-Based Data Validation in V2I Communication
Dajiang Suo^*, Baichuan Mo, Jinhua Zhao, Sanjay E. Sarma. IEEE Internet of Things Journal, 2022

[Paper]




Ex Post Path Choice Estimation for Urban Rail Systems Using Smart Card Data: An Aggregated Time-Space Hypernetwork Approach
Baichuan Mo, Zhenliang Ma^*, Haris N. Koutsopoulos, Jinhua Zhao. Transportation Science, 2022

[Paper]   [Code]




Impact of Unplanned Long-Term Service Disruptions on Urban Public Transit Systems
Baichuan Mo^*, Max Y. Von Franque, Haris N. Koutsopoulos, John P. Attanucci, and Jinhua Zhao. IEEE Open Journal of Intelligent Transportation Systems, 2022, 3, 551-569

[Paper]




Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning
Yiwen Sun, Wenzheng Hu, Donghua Zhou, Baichuan Mo, Kun Fu, Zhengping Che, Zheng Wang, Shenhao Wang, Jinhua Zhao, Jieping Ye, Jian Tang, Changshui Zhang^*. IEEE Transactions on Intelligent Transportation Systems, Early Access

[Paper]




Inferring Passenger Responses to Urban Rail Disruptions Using Smart Card Data: A Probabilistic Framework
Baichuan Mo^*, Haris N. Koutsopoulos, and Jinhua Zhao. Transportation Research Part E: Logistics and Transportation Review, 2022, 159, 102628

[Paper]




Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach
Baichuan Mo, Zhan Zhao^*, Haris N. Koutsopoulos, and Jinhua Zhao. IEEE Transactions on Intelligent Transportation Systems, 2022, 8, 12014-12026

[Paper]   [Code]




Impacts of Subjective Evaluations and Inertia from Existing Travel Modes on Adoption of Autonomous Mobility-on-Demand
Baichuan Mo, Qing Yi Wang, Joanna Moody^*, Yu Shen, Jinhua Zhao. Transportation Research Part C: Emerging Technologies, 2021, 130, 103281

[Paper]   [Code]




Impact of Pricing Policy Change on On-Street Parking Demand and User Satisfaction: A Case Study in Nanning, China
Baichuan Mo, Hui Kong, Hao Wang, Xiaokun (Cara) Wang, Ruimin Li^*. Transportation Research Part A: Policy and Practice, 2021, 148, 445-469

[Paper]   [Code]




Theory-based Deep Residual Neural Networks: A Synergy of Decision-making Theories and Deep Neural Networks
Shenhao Wang^*, Baichuan Mo, Jinhua Zhao. Transportation Research Part B: Methodological, 2021, 146, 333-358

[Paper]  




Competition between Shared Autonomous Vehicles and Public Transit: A Case Study in Singapore
Baichuan Mo, Zhejing Cao, Hongmou Zhang, Yu Shen, Jinhua Zhao^*. Transportation Research Part C: Emerging Technologies, 2021, 127, 103058

[Paper]  




Calibrating Path Choices and Train Capacities for Urban Rail Transit Simulation Models Using Smart Card and Train Movement Data
Baichuan Mo, Zhenliang Ma^*, Haris N. Koutsopoulos, Jinhua Zhao. Journal of Advanced Transportation, 2021, 5597130

[Paper]  




Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network
Baichuan Mo^† , Kairui Feng^† , Yu Shen^*, Clarence Tam, Daqing Li, Yafeng Yin, Jinhua Zhao. Transportation Research Part C: Emerging Technologies, 2021, 112: 102893

[Paper]   [Code]




Capacity-Constrained Network Performance Model for Urban Rail Systems
Baichuan Mo, Zhenliang Ma^*, Haris N. Koutsopoulos, Jinhua Zhao. Transportation Research Record, 2020, 2674 (5), 59-69

[Paper]   [Code]




Deep Neural Networks for Choice Analysis: Architecture Design with Alternative-specific Utility Functions
Shenhao Wang, Baichuan Mo, Jinhua Zhao^*. Transportation Research Part C: Emerging Technologies, 2020, 112: 234-251

[Paper]   [Code]




Estimating Dynamic Origin-Destination Demand: A Hybrid Framework Using License Plate Recognition Data
Baichuan Mo, Ruimin Li^*, Jingchen Dai. Computer-Aided Civil and Infrastructure Engineering, 2020, 35: 734-752

[Paper]




Impact of Built Environment on First- and Last-mile Travel Mode Choice
Baichuan Mo, Yu Shen^*, Jinhua Zhao. Transportation Research Record, 2018, 2672 (6), 40-51

[Paper]




Speed Profile Estimation Using License Plate Recognition Data.
Baichuan Mo, Ruimin Li^*, Xianyuan Zhan. Transportation Research Part C: Emerging Technologies, 2017, 82: 358-378

[Paper]

Conference

Impact of Unplanned Rail Disruption on Urban Transit Systems
Baichuan Mo^*, Max Y von Franque, Haris N. Koutsopoulos, John Attanucci, Jinhua Zhao. Transportation Research Board 100th Annual Meeting, Jan 2021, Virtual (Poster presentation)

[Paper]   [Poster]



Network Performance Model for Urban Rail Systems
Baichuan Mo, Zhenliang Ma^*, Haris N. Koutsopoulos, Jinhua Zhao. Transportation Research Board 99th Annual Meeting, Jan 2020, Washington, D.C. (Lectern presentation)

[Paper]   [Slides]



Latent Attitudes of Existing Travel Modes on Autonomous Vehicle Adoption
Baichuan Mo, Qing Yi Wang, Yu Shen^*, Jinhua Zhao. Transportation Research Board 99th Annual Meeting, Jan 2020, Washington, D.C. (Poster presentation)

[Paper]   [Poster]



Calibrating Route Choice for Urban Rail System: A Comparative Analysis Using Simulation-based Optimization Methods
Baichuan Mo, Zhenliang Ma^*, Haris N. Koutsopoulos, Jinhua Zhao. Transportation Research Board 99th Annual Meeting, Jan 2020, Washington, D.C. (Poster presentation)

[Paper]   [Poster]



Predicting Travel Mode Choice with 86 Machine Learning Classifiers: An Empirical Benchmark Study
Shenhao Wang^*, Baichuan Mo, Jinhua Zhao. Transportation Research Board 99th Annual Meeting, Jan 2020, Washington, D.C. (Poster presentation)

[Paper]



Built Environment and Autonomous Vehicle Mode Choice: A First-Mile Scenario in Singapore
Yu Shen, Baichuan Mo, Xiaohu Zhang^*, Jinhua Zhao. Transportation Research Board 98th Annual Meeting, Jan 2019, Washington, D.C. (Poster and special issue presentation)

[Paper]   [Poster]



Impact of Built Environment on First- and Last-mile Travel Mode Choice
Baichuan Mo, Yu Shen^*, Jinhua Zhao. Transportation Research Board 97th Annual Meeting, Jan 2018, Washington, D.C. (Lectern presentation)

[Paper]   [Slides]