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    Deep Reinforcement Learning for Hybrid Traffic Control: Coordinating AI and Fixed-Time Signal Controllers in Urban Networks

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    JTEPBS.TEENG-9357.pdf (5.836Mb)
    Date
    2026
    Author
    Xiong, Yingchang
    Zhu, Hong
    Xie, Chi
    Tang, Keshuang
    Sun, Fengmei
    Feng, Jialong
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    Abstract
    AbstractRecently, adaptive intersection signal control methods based on artificial intelligence (AI) have garnered substantial research interest. As these studies progress, the practical feasibility of AI-driven intersection control has been increasingly ...Practical ApplicationsThis study introduces a new approach to managing traffic signals in urban areas, particularly where traditional and advanced AI-based systems coexist. With cities increasingly adopting AI technologies for traffic control, ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4313713
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