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Deep Reinforcement Learning for Traffic Signals by Jablan M Karaklajic is a document available to read on EtoBox.
What is Deep Reinforcement Learning for Traffic Signals about?
This paper presents a novel traffic signal coordination control algorithm using deep reinforcement learning to address road congestion issues. The proposed algorithm, evaluated through experiments on the SUMO simulation platform, demonstrates improved performance in reducing average waiting time and time loss compared to existing signal control methods. The research introduces an index for assessing regional traffic performance and emphasizes the importance of coordinating multiple intersections for enhance
- Author
- Jablan M Karaklajic
- Language
- EN