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Maschinelles Lernen
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Analysis and estimation of energy consumption of electric buses using real-world data
Driving the environmental extra mile – Car sharing and voluntary carbon dioxide offsetting
Individual and synergistic associations among transit allowance, land use, and transit commuting
An Electric Vehicle Transitioning Framework for Public Fleet Planning
Revealing influences on carsharing users’ trip distance in small urban areas
Analyzing changes in travel patterns due to Covid-19 using Twitter data in India
Environmental screening model of driving behavior for an electric bus entering and leaving stops
Deep reinforcement learning for the optimal placement of cryptocurrency limit orders
Built environment’s nonlinear effects on mode shares around BRT and rail stations
Application of machine learning to characterize uneconomical managed lane choice behaviour
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
Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis
Nonlinear, threshold and synergistic effects of first/last-mile facilities on metro ridership
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Potential of machine learning for prediction of traffic related air pollution
A machine learning-driven two-phase metaheuristic for autonomous ridesharing operations
Systematizing the lexicon of platforms in information systems: a data-driven study
Designing a feature selection method based on explainable artificial intelligence
Examining active travel behavior through explainable machine learning: Insights from Beijing, China
Hub-and-spoke network design under congestion: A learning based metaheuristic
Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory
Uncovering the identity of Electronic Markets research through text mining techniques
Greenhouse gas emission prediction on road network using deep sequence learning
Clustering sensor data for autonomous terrain identification using time-dependency
Robot-human-learning for robotic picking processes
Strategieplanungen für das hybride Recycling in der Automobilindustrie
A machine learning model to predict runway exit at Vienna airport