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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Κύριοι συγγραφείς:	Zahra Fereidooni, Luciano Alessandro Ipsaro Palesi, Paolo Nesi
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IEEE 2025-01-01
Σειρά:	IEEE Access
Θέματα:	Deep reinforcement learning smart cities traffic control traffic light multi-agent single-agent
Διαθέσιμο Online:	https://ieeexplore.ieee.org/document/11029249/
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