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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
Integrating built environment and parking policy for car commuting reduction: evidence from Beijing
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
Learning through policy transfer? Reviewing a decade of scholarship for the field of transport
Truck industry classification from anonymous mobile sensor data using machine learning
Inovasi Media Video Untuk Melatih Berpikir Historis
Traffic volume prediction on low-volume roadways: a Cubist approach
Analyzing travel behavior in Hanoi using Support Vector Machine
A deep learning traffic flow prediction framework based on multi-channel graph convolution
Women Writing Portuguese Colonialism in Africa
A reinforcement learning model for personalized driving policies identification
Development of a global road safety performance function using deep neural networks
Consumer learning behavior in choosing electric motorcycles