A batch reinforcement learning approach to vacant taxi routing
A Bayesian approach to traffic estimation in stochastic user equilibrium networks
Accident prediction models with random corridor parameters
Accurate Real-time Map Matching for Challenging Environments
A Cognitive Control Approach to Communication-Based Train Control Systems
A Combined Model- and Learning-Based Framework for Interaction-Aware Maneuver Prediction
A competing Markov model for cracking prediction on civil structures
A computer vision-based assistant system for the assembly of narrow cabin products
Activity-based TOD typology for seoul transit station areas using smart-card data
Actor-Critic reinforcement learning for optimal design of piping support constraint combinations
A cumulative risk and sustainability index for pavements
Adaptable Data Download Schedules for Agile Earth-Observing Satellites