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A reinforcement learning model for personalized driving policies identification
Development of a global road safety performance function using deep neural networks
Using supervised machine learning algorithms in pavement degradation monitoring
Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data
Truck industry classification from anonymous mobile sensor data using machine learning
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
Representative truck activity patterns from anonymous mobile sensor data
The impact of the combination equilibrium of horizontal and sag-vertical curves on safety