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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
Detection & Tracking of Multi-Scenic Lane Based on Segnet-LSTM Semantic Split Network
Studying the capabilities of the analytical system based on the machine learning method
Fake it till you make it: Synthetic data for emerging carsharing programs
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
Revealing influences on carsharing users’ trip distance in small urban areas
Driving the environmental extra mile – Car sharing and voluntary carbon dioxide offsetting
Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers
How machine learning informs ride-hailing services: A survey
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