Using reinforcement learning to minimize taxi idle times
Traffic volume prediction on low-volume roadways: a Cubist approach
Ship selection in port state control: status and perspectives
Shipping market forecasting by forecast combination mechanism
Propeller optimization by interactive genetic algorithms and machine learning
Probabilistic traffic breakdown forecasting through Bayesian approximation using variational LSTMs
Prediction of extent of damage in vehicle during crash using improved XGBoost model
Predicting the traction power of metropolitan railway lines using different machine learning models
Predicting incident duration using random forests
Performance evaluation of mode choice models under balanced and imbalanced data assumptions