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Shipping market forecasting by forecast combination mechanism
Microscopic modeling of cyclists on off-street paths: a stochastic imitation learning approach
Application of algorithmic models of machine learning to the freight transportation process
A bibliometric analysis and review on reinforcement learning for transportation applications
Calibrating microscopic traffic simulators using machine learning and particle swarm optimization
Application of mayfly algorithm for prediction of removed sediment in hydro-suction dredging systems
Using reinforcement learning to minimize taxi idle times
Traffic volume prediction on low-volume roadways: a Cubist approach
Integration of machine learning and statistical models for crash frequency modeling
Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model
Incorporating congestion patterns into spatio-temporal deep 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
Integrating data-driven and simulation models to predict traffic state affected by road incidents