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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
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 bibliometric analysis and review on reinforcement learning for transportation applications
SATP-GAN: self-attention based generative adversarial network for traffic flow prediction