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08/04/2023
A Machine Learning Method for Predicting Traffic Signal Timing from Probe Vehicle Data
Traffic signals play an important role in transportation by enabling tra...
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05/01/2023
Attention-based Spatial-Temporal Graph Neural ODE for Traffic Prediction
Traffic forecasting is an important issue in intelligent traffic systems...
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04/05/2023
HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal Control
Single occupancy vehicles are the most attractive transportation alterna...
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09/27/2022
Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting
Accurate traffic forecasting is vital to an intelligent transportation s...
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07/26/2022
Simulating the Impact of Dynamic Rerouting on Metropolitan-Scale Traffic Systems
The rapid introduction of mobile navigation aides that use real-time roa...
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04/04/2022
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting
Deep-learning-based data-driven forecasting methods have produced impres...
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12/17/2021
A data-centric weak supervised learning for highway traffic incident detection
Using the data from loop detector sensors for near-real-time detection o...
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12/10/2021
Adaptive Differential Privacy Mechanism for Aggregated Mobility Dataset
Location data is collected from users continuously to acquire user mobil...
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04/26/2021
Quasi-Dynamic Traffic Assignment using High Performance Computing
Traffic assignment methods are some of the key approaches used to model ...
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04/17/2020
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting
Highway traffic modeling and forecasting approaches are critical for int...
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09/24/2019
