Spatial-Temporal Traffic Flow Control on Motorways Using Distributed Multi-Agent Reinforcement Learning

Spatial-Temporal Traffic Flow Control on Motorways Using Distributed Multi-Agent Reinforcement Learning

The prevailing variable speed limit (VSL) systems as an effective strategy for traffic control on motorways have the disadvantage that they only work with static VSL zones. Under changing traffic conditions, VSL systems with static VSL zones may perform suboptimally. Therefore, the adaptive design o...

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Bibliographic Details
Main Authors: Krešimir Kušić, Edouard Ivanjko, Filip Vrbanić, Martin Gregurić, Ivana Dusparic
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Mathematics
Subjects:
intelligent transport systems
traffic control
spatial-temporal variable speed limit
multi-agent systems
reinforcement learning
distributed W-learning
Online Access:https://www.mdpi.com/2227-7390/9/23/3081

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https://www.mdpi.com/2227-7390/9/23/3081

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