Distributed Highway Control: A Cooperative Reinforcement Learning-Based Approach

Distributed Highway Control: A Cooperative Reinforcement Learning-Based Approach

With increasing realised traffic on transport networks, greenhouse gas emissions show a similar trend. Reducing them is a modern aspiration, creating a better place to live and moving towards sustainability. Expanding the infrastructure is often not an appropriate solution, as the system would only...

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Bibliographic Details
Main Authors: Balint Kovari, Istvan Gellert Knab, Domokos Esztergar-Kiss, Szilard Aradi, Tamas Becsi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Variable speed limit control
multi-agent reinforcement learning
machine learning
traffic simulation
Online Access:https://ieeexplore.ieee.org/document/10613622/

Internet

https://ieeexplore.ieee.org/document/10613622/

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