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Enhancing ITS Reliability and Efficiency through Optimal VANET Clustering Using Grasshopper Optimization Algorithm

Seongsoo Cho Yeonwoo Lee Cheolhee Yoon

Computer Modeling in Engineering & Sciences2025，Vol.143Issue(6)：P.3769-3793,25.

Computer Modeling in Engineering & Sciences2025，Vol.143Issue(6)：P.3769-3793,25.DOI:10.32604/cmes.2025.066298

Enhancing ITS Reliability and Efficiency through Optimal VANET Clustering Using Grasshopper Optimization Algorithm

Seongsoo Cho ¹Yeonwoo Lee ²Cheolhee Yoon³

作者信息

1. Department of Convergence Science,Kongju National University,Gongju,32588,Republic of Korea
2. Department of Artificial Intelligence Engineering,Mokpo National University,Chonnam,58554,Republic of Korea
3. Laboratory of Autonomous Vehicle and Block-chain,Korean National Police University,Hungnamm,31539,Republic of Korea
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摘要

关键词

Grasshopper optimization algorithm/VANET/intelligent transportation systems/traffic congestion/clustering efficiency

分类

社会科学

引用本文复制引用

Seongsoo Cho,Yeonwoo Lee,Cheolhee Yoon..Enhancing ITS Reliability and Efficiency through Optimal VANET Clustering Using Grasshopper Optimization Algorithm[J].Computer Modeling in Engineering & Sciences,2025,143(6):P.3769-3793,25.

基金项目

supported by Institute of Information&Communications Technology Planning&Evaluation(IITP)grant funded by the Korea government(MSIT)(No.RS-2024-00337489 （IITP）

Development of Data Drift Management Technology to Overcome Performance Degradation of AI Analysis Models). （）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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