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A state-of-the-art survey of deep learning models for automated pavement crack segmentation
Identification of optimal locations of adaptive traffic signal control using heuristic methods
Using supervised machine learning algorithms in pavement degradation monitoring
A deep learning method for the prediction of 6-DoF ship motions in real conditions
Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data
The impact of the combination equilibrium of horizontal and sag-vertical curves on safety
Representative truck activity patterns from anonymous mobile sensor data
A Data Driven Approach for Estimating Traffic Demand of Different Transportation Modes