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Trans-Pacific HDR Satellite Communications Experiment Phase-2: Project Plan and Experimental Network
Learning IPM - a driving strategy for hybrid electric vehicles learns its lessons
Clustering sensor data for autonomous terrain identification using time-dependency
Promoting Environmentally Benign Electric Vehicles
Modeling time-of-day car use behavior: A Bayesian network approach
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions
Impact of an electrified parkade on the built environment: An unsupervised learning approach
Machine learning estimates of plug-in hybrid electric vehicle utility factors
Learning efficient haptic shape exploration with a rigid tactile sensor array
Warning systems triggered by trains increase flight-initiation times of wildlife
Machine learning approach to ship fuel consumption: A case of container vessel
Potential of machine learning for prediction of traffic related air pollution
Greenhouse gas emission prediction on road network using deep sequence learning
Estimating wildlife strike costs at US airports: A machine learning approach
Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu
Non-linear associations between the built environment and the physical activity of children
Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction
Spatial disparity of individual and collective walking behaviors: A new theoretical framework
Sharing behavior in ride-hailing trips: A machine learning inference approach
A time series clustering based approach for construction of real-world drive cycles
Nonlinear effects of the built environment on metro-integrated ridesourcing usage
Using explainable machine learning to understand how urban form shapes sustainable mobility
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
Exploring the nonlinear effects of built environment characteristics on customized bus service
Exploring nonlinear built environment effects on driving with a mixed-methods approach
Revealing influences on carsharing users’ trip distance in small urban areas
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
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
Using open data and deep learning to explore walkability in Shenzhen, China
Joint associations of environmental and sociodemographic attributes with active and sedentary travel
Exploring user satisfaction and improvement priorities in electric vehicle segments
A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents
Analysis and estimation of energy consumption of electric buses using real-world data
An Electric Vehicle Transitioning Framework for Public Fleet Planning