Baichuan Mo
Baichuan Mo
PhD Candidate, MIT
Verified email at - Homepage
Cited by
Cited by
Speed profile estimation using license plate recognition data
B Mo, R Li, X Zhan
Transportation research part C: emerging technologies 82, 358-378, 2017
Impact of built environment on first-and last-mile travel mode choice
B Mo, Y Shen, J Zhao
Transportation research record 2672 (6), 40-51, 2018
Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network
B Mo, K Feng, Y Shen, C Tam, D Li, Y Yin, J Zhao
arXiv preprint arXiv:2004.04602, 2020
Deep neural networks for choice analysis: Architecture design with alternative-specific utility functions
S Wang, B Mo, J Zhao
Transportation Research Part C: Emerging Technologies 112, 234-251, 2020
Capacity-constrained network performance model for urban rail systems
B Mo, Z Ma, HN Koutsopoulos, J Zhao
Transportation Research Record 2674 (5), 59-69, 2020
Assignment-based Path Choice Estimation for Metro Systems Using Smart Card Data
B Mo, Z Ma, HN Koutsopoulos, J Zhao
arXiv preprint arXiv:2001.03196, 2020
Built environment and autonomous vehicle mode choice: A first-mile scenario in singapore
Y Shen, B Mo, X Zhang, J Zhao
Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019
Dynamic Interaction between Shared Autonomous Vehicles and Public Transit: A Competitive Perspective
B Mo, Z Cao, H Zhang, Y Shen, J Zhao
arXiv preprint arXiv:2001.03197, 2020
Network performance model for urban rail systems
B Mo
Massachusetts Institute of Technology, 2020
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks
S Wang, B Mo, J Zhao
arXiv preprint arXiv:2010.11644, 2020
Estimating dynamic origin–destination demand: A hybrid framework using license plate recognition data
B Mo, R Li, J Dai
Computer‐Aided Civil and Infrastructure Engineering 35 (7), 734-752, 2020
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