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Adaptive human-robot policy blending for shared control teleoperation
Traffic Lights Control Using Reinforcement Learning: A Comparative Study
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
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
Path Planning Method for Unmanned Aerial Vehicle Based on Signal Reception Strength
An Energy Management Strategy for Traction Substation with ESS Based on Reinforcement Learning
Adaptive Traffic Control Using Cooperative Communication Through Visible Light
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework