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 ...

Abstract: Models of bridge deck deterioration with improved predictive power can provide bridge management strategies that will optimize allocation of the available, typically limited, budget of transportation agencies in a more ...

Abstract: Existing approaches to infrastructure management neglect the impact of infrastructure condition on safety performance, even though poorly maintained roadways can contribute to increased crash frequencies. This is perhaps ...