An urban traffic web simulator that uses data in real time
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Updated
Jul 2, 2020 - TypeScript
An urban traffic web simulator that uses data in real time
This repository offers code to repeat experiments and reuse the method in the study "Inferring vehicle spacing in urban traffic from trajectory data".
This model applies SARSA reinforcement learning for efficient urban traffic and pedestrian management, incorporating simulation, algorithmic implementation, and evaluation to enhance safety and reduce congestion.
Traffic Density Detection in Cities🚘
Traffic Anomaly Detection in Cities🚘
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