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SATP-GAN: self-attention based generative adversarial network for traffic flow prediction
Calibrating microscopic traffic simulators using machine learning and particle swarm optimization
Graph attention temporal convolutional network for traffic speed forecasting on road networks
Traffic volume prediction on low-volume roadways: a Cubist approach
Incorporating congestion patterns into spatio-temporal deep learning algorithms
Cruise dynamic pricing based on SARSA algorithm
Deep Architecture for Citywide Travel Time Estimation Incorporating Contextual Information
Characterizing parking systems from sensor data through a data-driven approach
Predicting the traction power of metropolitan railway lines using different machine learning models
Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic