Biblio
Found 204 results
Filters: Author is Jinhua Zhao [Clear All Filters]
Computer Vision for Transit Travel Time Prediction: An End-to-End Framework Using Roadside Urban Imagery. Public Transport. 2024.
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for travel behavior analysis? Transportation Research Part B. 2024;179.
Effects of electric vehicle charging stations on the economic vitality of local businesses. Nature Communications. 2024.
Impacts of remote work on vehicle miles traveled and transit ridership in the USA. Nature Cities. 2024.
MetRoBERTa: Leveraging Traditional Customer Relationship Management Data to Develop a Transit-Topic-Aware Language Model. Transportation Research Record. 2024.
Modeling virus transmission risks in commuting with emerging mobility services: A case study of COVID-19. Travel Behaviour and Society. 2024;34.
Robust Transit Frequency Setting Problem With Demand Uncertainty. IEEE Transactions on Intelligent Transportation Systems. 2024.
Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks. IEEE Transactions on Intelligent Transportation Systems. 2024.
Can Mobility of Care be Identified from Transit Fare Card Data? A Case Study in Washington D.C. Findings. 2023.
Cooperative Bus Holding and Stop-skipping: A Deep Reinforcement Learning Framework. Transportation Research Part C: Emerging Technologies. 2023;155.
Dissolving the Segmentation of a Shared Mobility Market: A Framework and Four Market Structure Designs. Transportation Research Part C: Emerging Technologies. 2023;157.
Evaluating the travel impacts of a shared mobility system for remote workers. Transportation Research Part D. 2023.
Examining the interactions between working from home, travel behavior and change in car ownership due to the impact of COVID-19. Travel Behaviour and Society. 2023;33.
Fairness-enhancing deep learning for ride-hailing demand prediction. IEEE Open Journal of Intelligent Transportation Systems . 2023;4.
Impacts of congestion pricing on ride-hailing ridership: Evidence from Chicago. Transportation Research Part A: Policy and Practice. 2023.
Reconstructing Transit Vehicle Trajectory Using High-Resolution GPS Data. 2023 IEEE 26th International Conference on Intelligent Transportation Systems. 2023.
Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty. Transportation Research Part B: Methodological. 2023.
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks. Temporal Graph Learning Workshop @ NeurIPS 2023. 2023.
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks. 2023 IEEE 26th International Conference on Intelligent Transportation Systems. 2023.
Train following model for urban rail transit performance analysis. Transportation Research Part C: Emerging Technologies. 2023;148.
Understanding multi-homing and switching by platform drivers. Transportation Research Part C: Emerging Technologies. 2023;154.
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning. IEEE Transactions on Intelligent Transportation Systems. 2022.
The Braess's Paradox in Dynamic Traffic. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 2022.
Data-driven Vehicle Rebalancing with Predictive Prescriptions in the Ride-hailing System. IEEE Open Journal of Intelligent Transportation Systems. 2022.