Abstract: Spatiotemporal traffic flow forecasting using deep learning (DL) models typically relies on convolutional or graph-convolutional filters combined with recurrent neural networks to capture both spatial and temporal dependencies ...

Abstract: Maintaining the structural reliability of highway bridges under a budget constraint necessitates the development of accurate prediction models of bridge deck deterioration to maximize bridge service life while minimizing ...