With cooperative vehicle infrastructure system, information exchange can occur between vehicles and road side units (RSU), and there is potential for the improvement of communication benefits brought about by vehicle road collaboration to be explored. This article reduces the cost of roadside unit information dissemination through vehicle to vehicle (V2V) communication. The roadside units participating in the cooperation each distribute a portion of the message, while the vehicles exchange information during aggregation, thereby achieving information sharing. However, cooperation between roadside units can also lead to increased costs. To address this issue, this article establishes a collaborative vehicle road communication scenario and proposes a core network side alliance partitioning method based on message passing neural network (MPNN). The effectiveness of the algorithm is verified through simulation.


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    Title :

    A method for dividing roadside unit alliances with cooperative vehicle infrastructure system


    Contributors:
    Yin, Feng (editor) / Zhan, Zehui (editor) / Chen, Siqi (author) / Hao, Ying (author) / Wei, Jing (author) / Xing, Jiandong (author) / Wang, Jixiang (author)

    Conference:

    Third International Conference on Electronics Technology and Artificial Intelligence (ETAI 2024) ; 2024 ; Guangzhou, China


    Published in:

    Proc. SPIE ; 13286


    Publication date :

    2024-09-30





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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