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Maschinelles Lernen
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keywords:("Maschinelles Lernen")
Bridges across borders: A clustering approach to support EU regional policy
A data-driven decision support system for service completion prediction in last mile logistics
Using machine learning for direct demand modeling of ridesourcing services in Chicago
Exploring the non-linear associations between spatial attributes and walking distance to transit
Ineffective built environment interventions: How to reduce driving in American suburbs?
Predicting passenger satisfaction in public transportation using machine learning models
Predicting weather-induced delays of high-speed rail and aviation in China
Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning
Domino effect in marine accidents: Evidence from temporal association rules
Statistical and machine learning approach for planning dial-a-ride systems
Medium-term public transit route ridership forecasting: What, how and why? A case study in Lyon
A methodology to develop a geospatial transportation typology
Container terminal daily gate in and gate out forecasting using machine learning methods
Transportation resilience under Covid-19 Uncertainty: A traffic severity analysis
Reshaping China's urban networks and their determinants: High-speed rail vs. air networks
Analysis of links between dockless bikeshare and metro trips in Beijing
Classifying the traffic state of urban expressways: A machine-learning approach
Forecasting container freight rates using the Prophet forecasting method
Forecasting transportation demand for the U.S. market
A kilometer or a mile? Does buffer size matter when it comes to car ownership?
Predicting the future development scale of high-speed rail through the urban scaling law
Understanding market competition between transportation network companies using big data
Machine learning approach for spatial modeling of ridesourcing demand