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A bibliometric analysis and review on reinforcement learning for transportation applications
Application of mayfly algorithm for prediction of removed sediment in hydro-suction dredging systems
Integration of machine learning and statistical models for crash frequency modeling
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
Arterial corridor travel time prediction under non-recurring conditions
Probabilistic traffic breakdown forecasting through Bayesian approximation using variational LSTMs
Integrating built environment and parking policy for car commuting reduction: evidence from Beijing
Automatic clustering-based approach for train wheels condition monitoring
Estimating lane utilization for variable approach lanes using explainable machine learning
A human-centric machine learning based personalized route choice prediction in navigation systems
Propeller optimization by interactive genetic algorithms and machine learning