Donggyu Min

Deep Reinforcement Learning Tackles Traffic Simulation Calibration

Researchers have developed a novel framework using model-free deep reinforcement learning (DRL) to address the dynamic origin-destination matrix estimation (DODE) problem in microscopic traffic simulations. This approac…