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Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
Revisiting residential self-selection and travel behavior connection using a double machine learning
Understanding the daily operations of electric taxis from macro-patterns to micro-behaviors
Fake it till you make it: Synthetic data for emerging carsharing programs
Individual and synergistic associations among transit allowance, land use, and transit commuting
Built environment’s nonlinear effects on mode shares around BRT and rail stations
Machine Learning im Cost Engineering des Supply Managements
Machine Learning im Cost Engineering des Supply Managements
Towards efficient airline disruption recovery with reinforcement learning
Optimization of ride-sharing with passenger transfer via deep reinforcement learning