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learning
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Learning IPM - a driving strategy for hybrid electric vehicles learns its lessons
Learning efficient haptic shape exploration with a rigid tactile sensor array
Warning systems triggered by trains increase flight-initiation times of wildlife
Estimating wildlife strike costs at US airports: A machine learning approach
Machine learning approach to ship fuel consumption: A case of container vessel
Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions
Non-linear associations between the built environment and the physical activity of children
Impact of an electrified parkade on the built environment: An unsupervised learning approach
Nonlinear effects of the built environment on metro-integrated ridesourcing usage
Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction
Machine learning estimates of plug-in hybrid electric vehicle utility factors
Modeling time-of-day car use behavior: A Bayesian network approach
Sharing behavior in ride-hailing trips: A machine learning inference approach
Using explainable machine learning to understand how urban form shapes sustainable mobility
Spatial disparity of individual and collective walking behaviors: A new theoretical framework
Joint associations of environmental and sociodemographic attributes with active and sedentary travel
Gender differences in active travel among older adults: Non-linear built environment insights
Illustrating nonlinear effects of built environment attributes on housing renters’ transit commuting
Using open data and deep learning to explore walkability in Shenzhen, China
Promoting Environmentally Benign Electric Vehicles
Exploring user satisfaction and improvement priorities in electric vehicle segments
Exploring the nonlinear effects of built environment characteristics on customized bus service
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
Revisiting residential self-selection and travel behavior connection using a double machine learning
Understanding the daily operations of electric taxis from macro-patterns to micro-behaviors
A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents
Fake it till you make it: Synthetic data for emerging carsharing programs
Driving the environmental extra mile – Car sharing and voluntary carbon dioxide offsetting
An Electric Vehicle Transitioning Framework for Public Fleet Planning
Analysis and estimation of energy consumption of electric buses using real-world data
Individual and synergistic associations among transit allowance, land use, and transit commuting
Revealing influences on carsharing users’ trip distance in small urban areas
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
Strategieplanungen für das hybride Recycling in der Automobilindustrie