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A data-driven lane-changing behavior detection system based on sequence learning
Microscopic modeling of cyclists on off-street paths: a stochastic imitation learning approach
A robust machine learning structure for driving events recognition using smartphone motion sensors
A bibliometric analysis and review on reinforcement learning for transportation applications
Understanding e-bicycle overtaking strategy: insights from inverse reinforcement learning modelling
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
Learning Drivers’ Behavior to Improve Adaptive Cruise Control
An evacuation guidance model for pedestrians with limited vision
Eco-driving at signalized intersections: a parameterized reinforcement learning approach
Alighting stop determination using two-step algorithms in bus transit systems