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

Siqi Chen; Ying Hao; Jing Wei; Jiandong Xing; Jixiang Wang

doi:10.1117/12.3045844

30 September 2024 A method for dividing roadside unit alliances with cooperative vehicle infrastructure system

Siqi Chen, Ying Hao, Jing Wei, Jiandong Xing, Jixiang Wang

Author Affiliations +

Proceedings Volume 13286, Third International Conference on Electronics Technology and Artificial Intelligence (ETAI 2024); 1328607 (2024) https://doi.org/10.1117/12.3045844
Event: Third International Conference on Electronics Technology and Artificial Intelligence (ETAI 2024), 2024, Guangzhou, China

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Siqi Chen, Ying Hao, Jing Wei, Jiandong Xing, and Jixiang Wang "A method for dividing roadside unit alliances with cooperative vehicle infrastructure system", Proc. SPIE 13286, Third International Conference on Electronics Technology and Artificial Intelligence (ETAI 2024), 1328607 (30 September 2024); https://doi.org/10.1117/12.3045844

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