Baichuan Mo

According to our database, Baichuan Mo authored at least 15 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Proof of Travel for Trust-Based Data Validation in V2I Communication.

Dajiang Suo, Baichuan Mo, Jinhua Zhao, Sanjay E. Sarma

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.

Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, Jinhua Zhao

Transp. Sci., March, 2023

Large Language Models for Travel Behavior Prediction.

Baichuan Mo, Hanyong Xu, Dingyi Zhuang, Ruoyun Ma, Xiaotong Guo, Jinhua Zhao

CoRR, 2023

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

CoRR, 2023

Evaluation of Public Transit Systems under Short Random Service Suspensions: A Bulk-Service Queuing Approach.

Baichuan Mo, Li Jin, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao

CoRR, 2023

2022

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 Trans. Intell. Transp. Syst., 2022

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, Jinhua Zhao

IEEE Trans. Intell. Transp. Syst., 2022

Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty.

Baichuan Mo, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao

CoRR, 2022

2021

Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark.

Shenhao Wang, Baichuan Mo, Stephane Hess, Jinhua Zhao

CoRR, 2021

Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach.

Baichuan Mo, Zhan Zhao, Haris N. Koutsopoulos, Jinhua Zhao

CoRR, 2021

2020

Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks.

Shenhao Wang, Baichuan Mo, Jinhua Zhao

CoRR, 2020

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

CoRR, 2020

Dynamic Interaction between Shared Autonomous Vehicles and Public Transit: A Competitive Perspective.

Baichuan Mo, Zhejing Cao, Hongmou Zhang, Yu Shen, Jinhua Zhao

CoRR, 2020

Assignment-based Path Choice Estimation for Metro Systems Using Smart Card Data.

Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, Jinhua Zhao

CoRR, 2020

Estimating dynamic origin-destination demand: A hybrid framework using license plate recognition data.

Baichuan Mo, Ruimin Li, Jingchen Dai

Comput. Aided Civ. Infrastructure Eng., 2020