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Using reinforcement learning to minimize taxi idle times
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
Oppositional particle swarm optimization algorithm and its application to fault monitor
A data-driven lane-changing behavior detection system based on sequence learning
SATP-GAN: self-attention based generative adversarial network for traffic flow prediction
Calibrating microscopic traffic simulators using machine learning and particle swarm optimization