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07/24/2023
Evaluating the reliability of automatically generated pedestrian and bicycle crash surrogates
Vulnerable road users (VRUs), such as pedestrians and bicyclists, are at...
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07/12/2023
Newell's theory based feature transformations for spatio-temporal traffic prediction
Deep learning (DL) models for spatio-temporal traffic flow forecasting e...
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07/12/2023
A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models
Deep-learning models for traffic data prediction can have superior perfo...
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07/11/2023