Jinhua Zhao

发表

Resilience of Public Transit Systems Under Short Random Service Suspensions: A Bulk-Service Queue Model

H. Koutsopoulos, Li Jin, Baichuan Mo, 2021 .

Ex Post Path Choice Estimation for Urban Rail Systems Using Smart Card Data: An Aggregated Time-Space Hypernetwork Approach

H. Koutsopoulos, Zhenliang Ma, Baichuan Mo, 2022, Transportation Science.

Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning

Jieping Ye, Donghua Zhou, Zhengping Che, 2022, IEEE Transactions on Intelligent Transportation Systems.

Demand management of congested public transport systems: a conceptual framework and application using smart card data

H. Koutsopoulos, Zhenliang Ma, Jinhua Zhao, 2019, Transportation.

TranViT: An Integrated Vision Transformer Framework for Discrete Transit Travel Time Range Prediction

Jinhua Zhao, Awad Abdelhalim, 2022, ArXiv.

Computer vision for transit travel time prediction: an end-to-end framework using roadside urban imagery

Jinhua Zhao, Awad Abdelhalim, 2022, Public Transport.

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

Z. Shen, H. Koutsopoulos, Li Jin, 2023, ArXiv.

Passenger Path Choice Estimation Using Smart Card Data: A Latent Class Approach with Panel Effects Across Days

H. Koutsopoulos, Zhenliang Ma, Baichuan Mo, 2023, 2301.03808.

Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks

H. Koutsopoulos, Shenhao Wang, Dingyi Zhuang, 2023, IEEE Transactions on Intelligent Transportation Systems.

Modeling virus transmission risks in commuting with emerging mobility services: A case study of COVID-19

H. Koutsopoulos, Baichuan Mo, Jinhua Zhao, 2023, Travel Behaviour and Society.

Fairness-Enhancing Deep Learning for Ride-Hailing Demand Prediction

Shenhao Wang, Dingyi Zhuang, Jinhua Zhao, 2023, IEEE Open Journal of Intelligent Transportation Systems.

Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis?

Hongzhou Lin, Shenhao Wang, Xiaohu Zhang, 2023, ArXiv.

Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks

H. Koutsopoulos, Shenhao Wang, Dingyi Zhuang, 2022, KDD.

Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network

M. Winkenbach, Baichuan Mo, Xiaotong Guo, 2023, ArXiv.

ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks

Zepu Wang, Dingyi Zhuang, Jinhua Zhao, 2023, ArXiv.

Individual Path Recommendation Under Public Transit Service Disruptions Considering Behavior Uncertainty

H. Koutsopoulos, Baichuan Mo, Jinhua Zhao, 2023, 2301.00916.

Cooperative bus holding and stop-skipping: A deep reinforcement learning framework

H. Koutsopoulos, Shenhao Wang, Jinhua Zhao, 2023, Transportation Research Part C: Emerging Technologies.

Large Language Models for Travel Behavior Prediction

Baichuan Mo, Dingyi Zhuang, Jinhua Zhao, 2023, ArXiv.

KPCA SVM with GA Model for Technological Achievements of College Students Forecasting

Jinhua Zhao, Zhishuai Song, Chenfeng Jiao, 2009, 2009 International Workshop on Intelligent Systems and Applications.

TranViT: An Integrated Vision Transformer Framework for Discrete Transit Travel Time Range Prediction

Jinhua Zhao, Awad Abdelhalim, 2022, ArXiv.

Data-Driven Vehicle Rebalancing With Predictive Prescriptions in the Ride-Hailing System

Xiaotong Guo, Jinhua Zhao, Qingyi Wang, 2022, IEEE Open Journal of Intelligent Transportation Systems.

ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks

Zepu Wang, Dingyi Zhuang, Jinhua Zhao, 2023, 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC).