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Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Shipping market forecasting by forecast combination mechanism
Machine learning algorithms in ship design optimization
Microscopic modeling of cyclists on off-street paths: a stochastic imitation learning approach
A robust machine learning structure for driving events recognition using smartphone motion sensors
A bibliometric analysis and review on reinforcement learning for transportation applications
Calibrating microscopic traffic simulators using machine learning and particle swarm optimization
Alighting stop determination using two-step algorithms in bus transit systems
Learning Drivers’ Behavior to Improve Adaptive Cruise Control
Application of mayfly algorithm for prediction of removed sediment in hydro-suction dredging systems
Using reinforcement learning to minimize taxi idle times
An automatic methodology to measure drivers’ behavior in public transport
Forecasting road traffic conditions using a context-based random forest algorithm
Using kinematic driving data to detect sleep apnea treatment adherence