MODELLING LEARNING AND ADAPTATION IN TRANSPORTATION CONTEXTS
Wake distribution prediction on the propeller plane in ship design using artificial intelligence
Driver steering and muscle activity during a lane-change manoeuvre
Short-term prediction of traffic dynamics with real-time recurrent learning algorithms
Consumer learning behavior in choosing electric motorcycles
Predicting incident duration using random forests
Collision-avoidance under COLREGS for unmanned surface vehicles via deep reinforcement learning
Identifying traffic conditions from non-traffic related sources
A machine learning-based method for simulation of ship speed profile in a complex ice field
GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model
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