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    Employing the Mean-Field Approximation Technique in Multiagent Reinforcement Learning to Control Signalized Intersections in an Urban Network

    Source: Journal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 005::page 04026019-1
    Author:
    Trinh, Hung Tuan
    ,
    Bae, Sang-Hoon
    ,
    Nguyen, Tuan Anh
    ,
    Tran, Duy Quang
    ,
    Nguyen, Van Bac
    DOI: 10.1061/JTEPBS.TEENG-9184
    Publisher: American Society of Civil Engineers
    Abstract: AbstractTraffic signal control is a difficult task to ensure the performance of traffic networks in major cities around the world. Multiagent reinforcement learning (MARL) is a promising approach for traffic light management. As the number of agents ...
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      Employing the Mean-Field Approximation Technique in Multiagent Reinforcement Learning to Control Signalized Intersections in an Urban Network

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313679
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorTrinh, Hung Tuan
    contributor authorBae, Sang-Hoon
    contributor authorNguyen, Tuan Anh
    contributor authorTran, Duy Quang
    contributor authorNguyen, Van Bac
    date accessioned2026-08-20T20:55:30Z
    date available2026-08-20T20:55:30Z
    date copyright2026/02/23
    date issued2026
    identifier otherJTEPBS.TEENG-9184.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313679
    description abstractAbstractTraffic signal control is a difficult task to ensure the performance of traffic networks in major cities around the world. Multiagent reinforcement learning (MARL) is a promising approach for traffic light management. As the number of agents ...
    publisherAmerican Society of Civil Engineers
    titleEmploying the Mean-Field Approximation Technique in Multiagent Reinforcement Learning to Control Signalized Intersections in an Urban Network
    typeJournal Article
    journal volume152
    journal issue5
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-9184
    journal fristpage04026019-1
    journal lastpage04026019-13
    page13
    treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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