Baichuan Mo
Orcid: 0000-0003-0323-0066
According to our database1,
Baichuan Mo
authored at least 16 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Intell. Transp. Syst., October, 2024
2023
IEEE Internet Things J., June, 2023
Ex Post Path Choice Estimation for Urban Rail Systems Using Smart Card Data: An Aggregated Time-Space Hypernetwork Approach.
Transp. Sci., March, 2023
Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network.
CoRR, 2023
Evaluation of Public Transit Systems under Short Random Service Suspensions: A Bulk-Service Queuing Approach.
CoRR, 2023
2022
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning.
IEEE Trans. Intell. Transp. Syst., 2022
Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach.
IEEE Trans. Intell. Transp. Syst., 2022
Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty.
CoRR, 2022
2021
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark.
CoRR, 2021
Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach.
CoRR, 2021
2020
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks.
CoRR, 2020
Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network.
CoRR, 2020
Dynamic Interaction between Shared Autonomous Vehicles and Public Transit: A Competitive Perspective.
CoRR, 2020
CoRR, 2020
Estimating dynamic origin-destination demand: A hybrid framework using license plate recognition data.
Comput. Aided Civ. Infrastructure Eng., 2020