This repository offers code to repeat experiments and reuse the method in the study "Inferring vehicle spacing in urban traffic from trajectory data".
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Updated
Feb 2, 2024 - Jupyter Notebook
This repository offers code to repeat experiments and reuse the method in the study "Inferring vehicle spacing in urban traffic from trajectory data".
An urban traffic web simulator that uses data in real time
The "Traffic Congestion Reduction with SARSA" applies SARSA reinforcement learning for efficient urban traffic and pedestrian management, incorporating simulation, algorithmic implementation, and evaluation to enhance safety and reduce congestion.
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