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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
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
Alighting stop determination using two-step algorithms in bus transit systems
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
Traffic volume prediction on low-volume roadways: a Cubist approach