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    Traffic flow control using multi-agent reinforcement learning

    , Article Journal of Network and Computer Applications ; Volume 207 , 2022 ; 10848045 (ISSN) Zeynivand, A ; Javadpour, A ; Bolouki, S ; Sangaiah, A. K ; Ja'fari, F ; Pinto, P ; Zhang, W ; Sharif University of Technology
    Academic Press  2022
    Abstract
    One of the technologies based on information technology used today is the VANET network used for inter-road communication. Today, many developed countries use this technology to optimize travel times, queue lengths, number of vehicle stops, and overall traffic network efficiency. In this research, we investigate the critical and necessary factors to increase the quality of VANET networks. This paper focuses on increasing the quality of service using multi-agent learning methods. The innovation of this study is using artificial intelligence to improve the network's quality of service, which uses a mechanism and algorithm to find the optimal behavior of agents in the VANET. The result...