Networked traffic signal control (NTSC) is essential for intelligent transportation systems. How to control multiple intersections in a cooperative way based on traffic conditions is critical for the success of NTSC. This paper proposes a Transformer-based cooperation mechanism (TCM) with the consideration of dynamic modeling and scale requirements simultaneously for large-scale traffic network control. Considering the physical constraints in traffic scenarios, a relative position encoding is designed to embed into TCM to characterize traffic conditions better. With the shared TCM module, intersection controllers could adequately exploit spatial-temporal correlations and adaptively capture global traffic dynamics, guiding them to explore collaborative traffic strategies more efficiently. Experimental results on two real-world datasets demonstrate that the suggested strategy greatly outperforms the state-of-the-art methods.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Learning Transformer-based Cooperation for Networked Traffic Signal Control


    Contributors:
    Zhao, Chen (author) / Dai, Xingyuan (author) / Wang, Xiao (author) / Li, Lingxi (author) / Lv, Yisheng (author) / Wang, Fei-Yue (author)


    Publication date :

    2022-10-08


    Size :

    1462706 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Parallel Learning Based Foundation Model for Networked Traffic Signal Control

    Zhao, Chen / Dai, Xingyuan / Chen, Yuanyuan et al. | IEEE | 2023


    Multi-agent reinforcement learning for integrated and networked adaptive traffic signal control

    EL-TANTAWY SAMAH / ABDULHAI BAHER | European Patent Office | 2017

    Free access

    MULTI-AGENT REINFORCEMENT LEARNING FOR INTEGRATED AND NETWORKED ADAPTIVE TRAFFIC SIGNAL CONTROL

    EL-TANTAWY SAMAH / ABDULHAI BAHER | European Patent Office | 2018

    Free access

    Signal control method adaptive to traffic events in networked traffic environment

    JIANG XIANCAI / WU ZHANLING / MA XING | European Patent Office | 2024

    Free access

    Asymmetric traffic flow signal control optimization method in networked traffic environment

    JIANG XIANCAI / MA XING / WU ZHANLING | European Patent Office | 2024

    Free access