Understanding the timing of urban morning commuting trips on mass transit railway systems
Learning two-dimensional merging behaviour from vehicle trajectories with imitation learning
Structure and dynamics of urban freight truck movements: A complex network theory perspective
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
Estimating intercity heavy truck mobility flows using the deep gravity framework
Status quo-dependent user equilibrium model with adaptive value of time
Train rescheduling for large-scale disruptions in a large-scale railway network
Unmanned aerial vehicle service network design for urban monitoring
Interaction between travel restriction policies and the spread of COVID-19