An incentive strategy for the retention of impatient passengers in ride-sourcing markets
Deep causal inference for understanding the impact of meteorological variations on traffic
Understanding the timing of urban morning commuting trips on mass transit railway systems
Learning two-dimensional merging behaviour from vehicle trajectories with imitation learning
Unmanned aerial vehicle service network design for urban monitoring
A branch-and-price-and-cut algorithm for the vehicle routing problem with load-dependent drones
Anomalous ride-hailing driver detection with deep transfer inverse reinforcement learning
Strategic use of fare-reward schemes in a ride-sourcing market: An equilibrium analysis
A macro–micro spatio-temporal neural network for traffic prediction
Region-Aware Hierarchical Graph Contrastive Learning for Ride-Hailing Driver Profiling
Status quo-dependent user equilibrium model with adaptive value of time
Shared parking for ride-sourcing platforms to reduce cruising traffic
Coordinating ride-sourcing and public transport services with a reinforcement learning approach