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Maschinelles Lernen
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Analysis and estimation of energy consumption of electric buses using real-world data
Exploring the nonlinear effects of built environment characteristics on customized bus service
A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents
Revisiting residential self-selection and travel behavior connection using a double machine learning
Exploring nonlinear built environment effects on driving with a mixed-methods approach
A time series clustering based approach for construction of real-world drive cycles
Fake it till you make it: Synthetic data for emerging carsharing programs
Driving the environmental extra mile – Car sharing and voluntary carbon dioxide offsetting
Individual and synergistic associations among transit allowance, land use, and transit commuting
Revealing influences on carsharing users’ trip distance in small urban areas
An Electric Vehicle Transitioning Framework for Public Fleet Planning
Environmental screening model of driving behavior for an electric bus entering and leaving stops
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
Built environment’s nonlinear effects on mode shares around BRT and rail stations