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An automatic methodology to measure drivers’ behavior in public transport
Forecasting road traffic conditions using a context-based random forest algorithm
Integration of machine learning and statistical models for crash frequency modeling
Traffic volume prediction on low-volume roadways: a Cubist approach
Investigating an SVM-driven, one-class approach to estimating ship systems condition
Integrating data-driven and simulation models to predict traffic state affected by road incidents
Crash classification based on manner of collision: a comparative analysis
Incorporating congestion patterns into spatio-temporal deep learning algorithms