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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
Using ultrasound images of the forearm to predict finger positions
Learning efficient haptic shape exploration with a rigid tactile sensor array
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions
Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction
Non-linear associations between the built environment and the physical activity of children
Nonlinear effects of the built environment on metro-integrated ridesourcing usage
Modeling time-of-day car use behavior: A Bayesian network approach
Using explainable machine learning to understand how urban form shapes sustainable mobility
Machine learning estimates of plug-in hybrid electric vehicle utility factors
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
Spatial disparity of individual and collective walking behaviors: A new theoretical framework
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
Sharing behavior in ride-hailing trips: A machine learning inference approach
Exploring user satisfaction and improvement priorities in electric vehicle segments
Joint associations of environmental and sociodemographic attributes with active and sedentary travel
Radar Waveforms and Their Mathematical Models
Revisiting residential self-selection and travel behavior connection using a double machine learning
Machine learning approaches for detection of robot errors in human brain signals
Exploring nonlinear built environment effects on driving with a mixed-methods approach
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
A time series clustering based approach for construction of real-world drive cycles
Vehicular Networks and Autonomous Driving Cars
Analysis and estimation of energy consumption of electric buses using real-world data
Studying the capabilities of the analytical system based on the machine learning method
Target Recognition and Classification Techniques
An Electric Vehicle Transitioning Framework for Public Fleet Planning
Individual and synergistic associations among transit allowance, land use, and transit commuting
Fake it till you make it: Synthetic data for emerging carsharing programs
Revealing influences on carsharing users’ trip distance in small urban areas
Driving the environmental extra mile – Car sharing and voluntary carbon dioxide offsetting
How machine learning informs ride-hailing services: A survey