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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
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
Real-time traffic incident detection based on a hybrid deep learning model
Reinforcement learning-enabled genetic algorithm for school bus scheduling
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
Assessing influential factors for lane change behavior using full real-world vehicle-by-vehicle data
DLW-Net model for traffic flow prediction under adverse weather
Estimating cycle-level real-time traffic movements at signalized intersections
Development of a novel engine power model to estimate heavy-duty truck fuel consumption