Traffic Signal Control via Reinforcement Learning: A Review on Applications and Innovations

Traffic Signal Control via Reinforcement Learning: A Review on Applications and Innovations

Traffic signal control plays a pivotal role in intelligent transportation systems, directly affecting urban mobility, congestion mitigation, and environmental sustainability. As traffic networks become more dynamic and complex, traditional strategies such as fixed-time and actuated control increasin...

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Bibliographic Details
Main Authors: Panagiotis Michailidis, Iakovos Michailidis, Charalampos Rafail Lazaridis, Elias Kosmatopoulos
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Infrastructures
Subjects:
reinforcement learning
traffic management
traffic signal control
adaptive control
model-free control
intelligent transportation
Online Access:https://www.mdpi.com/2412-3811/10/5/114
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