Multi-Agent Optimizing Traffic Light Signals Using Deep Reinforcement Learning

In recent years, rapid urbanization has led to increased traffic congestion, rendering traditional traffic light control methods ineffective. Deep Reinforcement Learning (DRL) has emerged as a promising approach to sequential decision-making, offering adaptive and efficient solutions for traffic man...

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Principais autores:	Zahra Fereidooni, Luciano Alessandro Ipsaro Palesi, Paolo Nesi
格式:	Artigo
语言:	Inglês
出版:	IEEE 2025-01-01
丛编:	IEEE Access
主题:	Deep reinforcement learning smart cities traffic control traffic light multi-agent single-agent
在线阅读:	https://ieeexplore.ieee.org/document/11029249/
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