Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach
Multi‐model ensemble for short‐term traffic flow prediction under normal and abnormal conditions
Multi-model ensemble for short-term traffic flow prediction under normal and abnormal conditions
Day-to-day dynamics with advanced traveler information
Spatial-temporal pricing for ride-sourcing platform with reinforcement learning
Coordinating ride-sourcing and public transport services with a reinforcement learning approach
Network-scale traffic prediction via knowledge transfer and regional MFD analysis
Anomalous ride-hailing driver detection with deep transfer inverse reinforcement learning
Region-Aware Hierarchical Graph Contrastive Learning for Ride-Hailing Driver Profiling
A physics-informed Transformer model for vehicle trajectory prediction on highways
Learning two-dimensional merging behaviour from vehicle trajectories with imitation learning