Using reinforcement learning to minimize taxi idle times
Learning through policy transfer? Reviewing a decade of scholarship for the field of transport
GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model
Few-Shot traffic prediction based on transferring prior knowledge from local network
A cold-start-free reinforcement learning approach for traffic signal control
Performance evaluation of mode choice models under balanced and imbalanced data assumptions
Shipping market forecasting by forecast combination mechanism
Microscopic modeling of cyclists on off-street paths: a stochastic imitation learning approach
A data-driven lane-changing behavior detection system based on sequence learning
A bibliometric analysis and review on reinforcement learning for transportation applications
SATP-GAN: self-attention based generative adversarial network for traffic flow prediction