Biblio
Found 274 results
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for travel behavior analysis? Transportation Research Part B. 2024;179.
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.
Can Mobility of Care be Identified from Transit Fare Card Data? A Case Study in Washington D.C. Findings. 2023.
Climate-resilient transportation infrastructure in coastal cities. Vol Design Principles for Climate Emergencies. Elsevier; 2023.
Computer Vision for Transit Travel Time Prediction: An End-to-End Framework Using Roadside Urban Imagery. Public Transport. 2023.
Cooperative Bus Holding and Stop-skipping: A Deep Reinforcement Learning Framework. Transportation Research Part C: Emerging Technologies. 2023;155.
Depth‐damage curves for rail rapid transit infrastructure. Journal of Flood Risk Management. 2023;1637(12).
Discount Rate Selection for Investments in Climate Change Adaptation and Flood Risk Reduction Projects. Journal of Management in Engineering. 2023;3960(43).
Estimating coastal flood damage costs to transit infrastructure under future sea level rise. Communications Earth & Environment. 2023;4(137).
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.
Predicting drivers’ route trajectories in last-mile delivery using a pair-wise attention-based pointer neural network. Transportation Research Part E: Logistics and Transportation Review. 2023;175(103168).
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.