An Overview of Reinforcement Learning Methods for Variable Speed Limit Control

An Overview of Reinforcement Learning Methods for Variable Speed Limit Control

Variable Speed Limit (VSL) control systems are widely studied as solutions for improving safety and throughput on urban motorways. Machine learning techniques, specifically Reinforcement Learning (RL) methods, are a promising alternative for setting up VSL since they can learn and react to different...

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Bibliographic Details
Main Authors: Krešimir Kušić, Edouard Ivanjko, Martin Gregurić, Mladen Miletić
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
intelligent transportation systems
urban motorways
variable speed limit
reinforcement learning
deep learning
multi-agent systems
Online Access:https://www.mdpi.com/2076-3417/10/14/4917

Internet

https://www.mdpi.com/2076-3417/10/14/4917

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