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Maschinelles Lernen
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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
Studying the capabilities of the analytical system based on the machine learning method
A time series clustering based approach for construction of real-world drive cycles
Vehicular Networks and Autonomous Driving Cars
Target Recognition and Classification Techniques
Fake it till you make it: Synthetic data for emerging carsharing programs
Driving the environmental extra mile – Car sharing and voluntary carbon dioxide offsetting
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
Individual and synergistic associations among transit allowance, land use, and transit commuting
Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers
Revealing influences on carsharing users’ trip distance in small urban areas
How machine learning informs ride-hailing services: A survey
An Electric Vehicle Transitioning Framework for Public Fleet Planning