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Using reinforcement learning to minimize taxi idle times
A cold-start-free reinforcement learning approach for traffic signal control
Reinforcement learning-enabled genetic algorithm for school bus scheduling
Estimating the effect of biofouling on ship shaft power based on sensor measurements
Estimating cycle-level real-time traffic movements at signalized intersections
Electric vehicle charging demand forecasting using deep learning model
Arterial corridor travel time prediction under non-recurring conditions
Deep Architecture for Citywide Travel Time Estimation Incorporating Contextual Information
Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic
A human-centric machine learning based personalized route choice prediction in navigation systems
Identifying traffic conditions from non-traffic related sources
Propeller optimization by interactive genetic algorithms and machine learning