ENTITY Dynamic origin-destination matrix estimation on motorway networks

Dynamic origin-destination matrix estimation on motorway networks

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TOOL · CL_131562 · Jul 8 · 04:00

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…

Deep Reinforcement Learning Tackles Traffic Simulation Calibration