A reinforcement learning model for personalized driving policies identification
Learning through policy transfer? Reviewing a decade of scholarship for the field of transport
Traffic volume prediction on low-volume roadways: a Cubist approach
Development of a global road safety performance function using deep neural networks
Consumer learning behavior in choosing electric motorcycles
Using supervised machine learning algorithms in pavement degradation monitoring
Integrating built environment and parking policy for car commuting reduction: evidence from Beijing
Analyzing travel behavior in Hanoi using Support Vector Machine
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