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

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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Publication Details

Published
2024-09-30
DOI
https://doi.org/10.1117/12.3045844
Primary Topic
Transportation Systems and Logistics
Type
article
Field-Weighted Citation Impact
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article

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

Wei Jing, Hao Ying, Siqi Chen, Jixiang Wang et al.
Transportation Systems and Logistics
article

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

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

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.

Ministry of Public Security of the People's Republic of China (CN), North China University of Technology (CN), HUI Research (Sweden) (SE), Hefei Institute of Technology Innovation (CN), Beihang University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 81%
Transportation Systems and Logistics
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A method for dividing roadside unit alliances with cooperative vehicle infrastructure system — Wei Jing, Hao Ying, et al. · (2024) | TGRS Research Map | TGRS