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Dynamic origin-destination matrix estimation on motorway networks

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    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…