Machine Learning based Distributed Traffic Signal Control
This study proposes a distributed traffic signal control framework built upon a Machine Learning (ML) paradigm utilizing Reinforcement Learning (RL), and demonstrates the effectiveness of the proposed approach, with vehicle queue lengths and average waiting times reduced by 35% on roads leading to the junctions, compar...
Alireza Rezaee, Amirhossein Safdari
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