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Maschinelles Lernen
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A comprehensive review of trip generation models based on land use characteristics
Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis
Nonlinear, threshold and synergistic effects of first/last-mile facilities on metro ridership
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
Clustering sensor data for autonomous terrain identification using time-dependency
Strategieplanungen für das hybride Recycling in der Automobilindustrie