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A reinforcement learning model for personalized driving policies identification
Learning through policy transfer? Reviewing a decade of scholarship for the field of transport
Development of a global road safety performance function using deep neural networks
Predicting disruptions and their passenger delay impacts for public transport stops
Using supervised machine learning algorithms in pavement degradation monitoring
Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data
A state-of-the-art survey of deep learning models for automated pavement crack segmentation
Truck industry classification from anonymous mobile sensor data using machine learning
Identification of optimal locations of adaptive traffic signal control using heuristic methods
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