SATP-GAN: self-attention based generative adversarial network for traffic flow prediction
Calibrating microscopic traffic simulators using machine learning and particle swarm optimization
An evacuation guidance model for pedestrians with limited vision
Graph attention temporal convolutional network for traffic speed forecasting on road networks
Eco-driving at signalized intersections: a parameterized reinforcement learning approach
Real-time traffic incident detection based on a hybrid deep learning model
Application of mayfly algorithm for prediction of removed sediment in hydro-suction dredging systems
Reinforcement learning-enabled genetic algorithm for school bus scheduling
Traffic volume prediction on low-volume roadways: a Cubist approach
Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model
Short-term prediction of traffic dynamics with real-time recurrent learning algorithms
Consumer learning behavior in choosing electric motorcycles
Social group detection based on multi-level consistent behaviour characteristics
DRL-based adaptive signal control for bus priority service under connected vehicle environment