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Machine learning for multi-jurisdictional optimal traffic corridor control
Statistical and machine learning approach for planning dial-a-ride systems
Classifying the traffic state of urban expressways: A machine-learning approach
Exploring the non-linear associations between spatial attributes and walking distance to transit
Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning
Bridges across borders: A clustering approach to support EU regional policy
Using machine learning for direct demand modeling of ridesourcing services in Chicago
Predicting weather-induced delays of high-speed rail and aviation in China
Domino effect in marine accidents: Evidence from temporal association rules
A methodology to develop a geospatial transportation typology
Medium-term public transit route ridership forecasting: What, how and why? A case study in Lyon
Interpretable data-driven demand modelling for on-demand transit services