Real-Time Adaptive Traffic Signal Control in a Connected and Automated Vehicle Environment: Optimisation of Signal Planning with Reinforcement Learning under Vehicle Speed Guidance

Real-Time Adaptive Traffic Signal Control in a Connected and Automated Vehicle Environment: Optimisation of Signal Planning with Reinforcement Learning under Vehicle Speed Guidance

Adaptive traffic signal control (ATSC) is an effective method to reduce traffic congestion in modern urban areas. Many studies adopted various approaches to adjust traffic signal plans according to real-time traffic in response to demand fluctuations to improve urban network performance (e.g., minim...

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Bibliographic Details
Main Authors: Saeed Maadi, Sebastian Stein, Jinhyun Hong, Roderick Murray-Smith
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
connected and automated vehicles
adaptive traffic signal control
reinforcement learning
microscopic traffic simulation
Online Access:https://www.mdpi.com/1424-8220/22/19/7501

Internet

https://www.mdpi.com/1424-8220/22/19/7501

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