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07/08/2023
Training Physics-Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction
Physics-informed neural networks (PINNs) are a newly emerging research f...
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09/20/2022
Traffic Accident Risk Forecasting using Contextual Vision Transformers
Recently, the problem of traffic accident risk forecasting has been gett...
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09/19/2022
Traffic incident duration prediction via a deep learning framework for text description encoding
Predicting the traffic incident duration is a hard problem to solve due ...
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05/10/2022
Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation
Predicting the duration of traffic incidents is a challenging task due t...
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03/11/2021
Boosted Genetic Algorithm using Machine Learning for traffic control optimization
Traffic control optimization is a challenging task for various traffic c...
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06/26/2020
Graph modelling approaches for motorway traffic flow prediction
Traffic flow prediction, particularly in areas that experience highly dy...
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06/23/2020
Traffic congestion anomaly detection and prediction using deep learning
Congestion prediction represents a major priority for traffic management...
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07/15/2019
Motorway Traffic Flow Prediction using Advanced Deep Learning
Congestion prediction represents a major priority for traffic management...
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06/11/2019
Trip Table Estimation and Prediction for Dynamic Traffic Assignment Applications
The study focuses on estimating and predicting time-varying origin to de...
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06/11/2019
Traffic signal control optimization under severe incident conditions using Genetic Algorithm
Traffic control optimization is a challenging task for various traffic c...
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05/29/2019
