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Maschinelles Lernen
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A comprehensive review of trip generation models based on land use characteristics
Analysis and estimation of energy consumption of electric buses using real-world data
An Electric Vehicle Transitioning Framework for Public Fleet Planning
A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents
A time series clustering based approach for construction of real-world drive cycles
Built environment’s nonlinear effects on mode shares around BRT and rail stations
Driving the environmental extra mile – Car sharing and voluntary carbon dioxide offsetting
Environmental screening model of driving behavior for an electric bus entering and leaving stops
Estimating wildlife strike costs at US airports: A machine learning approach
Examining active travel behavior through explainable machine learning: Insights from Beijing, China
Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions
Exploring nonlinear built environment effects on driving with a mixed-methods approach
Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu
Exploring the nonlinear effects of built environment characteristics on customized bus service
Exploring user satisfaction and improvement priorities in electric vehicle segments
Fake it till you make it: Synthetic data for emerging carsharing programs