{"title":"An Improved Grey Relational Theory Evaluation Method: Considering the Comprehensive Performance of Autonomous Vehicles in Virtual Test","authors":"Wei Wang, Wen-Bo Li, Fu-Fan Qu, Ting Dong, Guang-Yu Wang, Li-Guang Wu, Cun-Yang Shi","doi":"10.1007/s12239-024-00113-8","DOIUrl":null,"url":null,"abstract":"<p>Reasonable test scenarios and objective evaluation methods can rapidly promote the development of autonomous vehicle technology. A new quantitative evaluation method for the comprehensive performance of autonomous vehicle is proposed in this paper. First, different test environments and test contents are combined to obtain vehicle test scenarios of different complexity. Then, the evaluation index system of autonomous vehicle is divided into target layer, total index layer, and index layer. After that, the weights of the index layer are determined by the objective weight method of Criteria Importance though Intercriteria Correlation (CRITIC) method, and the total weights of index layer are determined by the analytic hierarchy process (AHP) of subjective weight method. Finally, the improved grey relational theory method is used to quantitatively evaluate autonomous vehicles from four aspects: driving safety, riding comfort, intelligence, and efficiency. The quantitative evaluation of autonomous vehicles can reduce the influence of abnormal data on the correlation degree and increase the robustness of the evaluation algorithm. The evaluation results of the proposed method and the traditional fuzzy comprehensive evaluation method are compared by simulation experiment and evaluation. The results show that the proposed evaluation method in this paper is more objective and reasonable, which can quantitatively evaluate the comprehensive performance of autonomous vehicles.</p>","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":"200 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Automotive Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s12239-024-00113-8","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Reasonable test scenarios and objective evaluation methods can rapidly promote the development of autonomous vehicle technology. A new quantitative evaluation method for the comprehensive performance of autonomous vehicle is proposed in this paper. First, different test environments and test contents are combined to obtain vehicle test scenarios of different complexity. Then, the evaluation index system of autonomous vehicle is divided into target layer, total index layer, and index layer. After that, the weights of the index layer are determined by the objective weight method of Criteria Importance though Intercriteria Correlation (CRITIC) method, and the total weights of index layer are determined by the analytic hierarchy process (AHP) of subjective weight method. Finally, the improved grey relational theory method is used to quantitatively evaluate autonomous vehicles from four aspects: driving safety, riding comfort, intelligence, and efficiency. The quantitative evaluation of autonomous vehicles can reduce the influence of abnormal data on the correlation degree and increase the robustness of the evaluation algorithm. The evaluation results of the proposed method and the traditional fuzzy comprehensive evaluation method are compared by simulation experiment and evaluation. The results show that the proposed evaluation method in this paper is more objective and reasonable, which can quantitatively evaluate the comprehensive performance of autonomous vehicles.
期刊介绍：
The International Journal of Automotive Technology has as its objective the publication and dissemination of original research in all fields of AUTOMOTIVE TECHNOLOGY, SCIENCE and ENGINEERING. It fosters thus the exchange of ideas among researchers in different parts of the world and also among researchers who emphasize different aspects of the foundations and applications of the field.
Standing as it does at the cross-roads of Physics, Chemistry, Mechanics, Engineering Design and Materials Sciences, AUTOMOTIVE TECHNOLOGY is experiencing considerable growth as a result of recent technological advances. The Journal, by providing an international medium of communication, is encouraging this growth and is encompassing all aspects of the field from thermal engineering, flow analysis, structural analysis, modal analysis, control, vehicular electronics, mechatronis, electro-mechanical engineering, optimum design methods, ITS, and recycling. Interest extends from the basic science to technology applications with analytical, experimental and numerical studies.
The emphasis is placed on contributions that appear to be of permanent interest to research workers and engineers in the field. If furthering knowledge in the area of principal concern of the Journal, papers of primary interest to the innovative disciplines of AUTOMOTIVE TECHNOLOGY, SCIENCE and ENGINEERING may be published. Papers that are merely illustrations of established principles and procedures, even though possibly containing new numerical or experimental data, will generally not be published.
When outstanding advances are made in existing areas or when new areas have been developed to a definitive stage, special review articles will be considered by the editors.
No length limitations for contributions are set, but only concisely written papers are published. Brief articles are considered on the basis of technical merit.
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