Baichuan Mo

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 16

Top Topics

Simulation Models

Demand Uncertainty

License Plate Recognition

Service Requirements

Top Venues

IEEE Trans. Intell. Transp. Syst.

IEEE Internet Things J.

Comput. Aided Civ. Infrastructure Eng.

Publications

Baichuan Mo, Qing Yi Wang, Xiaotong Guo, Matthias Winkenbach, Jinhua Zhao
Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network. CoRR (2023)
Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, Jinhua Zhao
Ex Post Path Choice Estimation for Urban Rail Systems Using Smart Card Data: An Aggregated Time-Space Hypernetwork Approach. Transp. Sci. 57 (2) (2023)
Baichuan Mo, Hanyong Xu, Dingyi Zhuang, Ruoyun Ma, Xiaotong Guo, Jinhua Zhao
Large Language Models for Travel Behavior Prediction. CoRR (2023)
Dajiang Suo, Baichuan Mo, Jinhua Zhao, Sanjay E. Sarma
Proof of Travel for Trust-Based Data Validation in V2I Communication. IEEE Internet Things J. 10 (11) (2023)
Baichuan Mo, Li Jin, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao
Evaluation of Public Transit Systems under Short Random Service Suspensions: A Bulk-Service Queuing Approach. CoRR (2023)
Baichuan Mo, Zhan Zhao, Haris N. Koutsopoulos, Jinhua Zhao
Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Yiwen Sun, Wenzheng Hu, Donghua Zhou, Baichuan Mo, Kun Fu, Zhengping Che, Zheng Wang, Shenhao Wang, Jinhua Zhao, Jieping Ye, Jian Tang, Changshui Zhang
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Baichuan Mo, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao
Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty. CoRR (2022)
Baichuan Mo, Zhan Zhao, Haris N. Koutsopoulos, Jinhua Zhao
Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach. CoRR (2021)
Shenhao Wang, Baichuan Mo, Stephane Hess, Jinhua Zhao
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark. CoRR (2021)
Shenhao Wang, Baichuan Mo, Jinhua Zhao
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks. CoRR (2020)
Baichuan Mo, Ruimin Li, Jingchen Dai
Estimating dynamic origin-destination demand: A hybrid framework using license plate recognition data. Comput. Aided Civ. Infrastructure Eng. 35 (7) (2020)
Baichuan Mo, Kairui Feng, Yu Shen, Clarence Tam, Daqing Li, Yafeng Yin, Jinhua Zhao
Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network. CoRR (2020)
Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, Jinhua Zhao
Assignment-based Path Choice Estimation for Metro Systems Using Smart Card Data. CoRR (2020)
Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, Jinhua Zhao
Calibrating Path Choices and Train Capacities for Urban Rail Transit Simulation Models Using Smart Card Data. CoRR (2020)
Baichuan Mo, Zhejing Cao, Hongmou Zhang, Yu Shen, Jinhua Zhao
Dynamic Interaction between Shared Autonomous Vehicles and Public Transit: A Competitive Perspective. CoRR (2020)