Found 18 results
Filters: Author is Baichuan Mo [Clear All Filters]
Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty. Transportation Research Part B: Methodological. 2023.
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning. IEEE Transactions on Intelligent Transportation Systems. 2022.
Ex-Post Path Choice Estimation for Urban Rail Systems Using Smart Card Data: An Aggregated Time-Space Hypernetwork Approach. Transporation Science. 2022.
Impact of Unplanned Long-Term Service Disruptions on Urban Public Transit Systems. IEEE Open Journal of Intelligent Transportation Systems. 2022.
Inferring Passenger Responses to Urban Rail Disruptions Using Smart Card Data: A Probabilistic Framework. Transportation Research Part E. 2022.
Proof of Travel for Trust-Based Data Validation in V2I Communication. IEEE Internet of Things Journal. 2022.
Calibrating Path Choices and Train Capacities for Urban Rail Transit Simulation Models Using Smart Card and Train Movement Data. Journal of Advanced Transportation. 2021.
Competition between Shared Autonomous Vehicles and Public Transit: A Case Study in Singapore. Transportation Research Part C. 2021.
Impacts of subjective evaluations and inertia from use of existing travel modes on adoption of autonomous mobility-on-demand. Transportation Research Part C. 2021.
Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach. IEEE Transactions on Intelligent Transportation Systems. 2021.
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks. Transportation Research Part B. 2021.
Capacity-Constrained Network Performance Model for Urban Rail Systems. Transportation Research Record. 2020.
Deep Neural Networks for Choice Analysis: Architecture Design with Alternative-Specific Utility Functions. Transportation Research Part C. 2020.
Latent Attitudes of Existing Travel Modes on Autonomous Vehicle Adoption. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.
Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network. Transportation Research Part C. 2020.
Predicting Travel Mode Choice with 86 Machine Learning Classifiers: An Empirical Benchmark Study. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.
Built Environment and Autonomous Vehicles Mode Choice: A First Mile Scenario in Singapore. In: Transportation Research Board 98th Annual Meeting. Washington, D.C.; 2019.
Impact of Built Environment on First- and Last-Mile Travel Mode Choice. Transportation Research Record. 2018.