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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
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
Consumer learning behavior in choosing electric motorcycles
Cruise dynamic pricing based on SARSA algorithm
Short-term prediction of traffic dynamics with real-time recurrent learning algorithms
Estimating the effect of biofouling on ship shaft power based on sensor measurements
Prediction of extent of damage in vehicle during crash using improved XGBoost model
Method for automated detection of outliers in crash simulations
Social group detection based on multi-level consistent behaviour characteristics
Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model
Integrating data-driven and simulation models to predict traffic state affected by road incidents
Integration of machine learning and statistical models for crash frequency modeling
DRL-based adaptive signal control for bus priority service under connected vehicle environment
Incorporating congestion patterns into spatio-temporal deep learning algorithms