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keywords:(learning)
Environmental screening model of driving behavior for an electric bus entering and leaving stops
Built environment’s nonlinear effects on mode shares around BRT and rail stations
Transit electrification state of the art: A machine-learning based text mining approach
A comprehensive review of trip generation models based on land use characteristics
Nonlinear, threshold and synergistic effects of first/last-mile facilities on metro ridership
Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis
Short-term electric vehicle battery swapping demand prediction: Deep learning methods
Potential of machine learning for prediction of traffic related air pollution
Examining active travel behavior through explainable machine learning: Insights from Beijing, China
Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory
Greenhouse gas emission prediction on road network using deep sequence learning