Application of Gray Correlation and Improved AHP to Evaluation on Intelligent U-Turn Behavior of Unmanned Vehicles

Fang Dong, Ya Nan Zhao, Li Gao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Citations (Scopus)

Abstract

Gray correlation analysis combined with improved AHP (Analytic Hierarchy Process) method is applied to evaluate intelligent U-turn behavior of unmanned vehicles. On the basis of establishing the evaluation index system of intelligent U-turn behavior, improved AHP is used to determine the weight of every evaluation index, and then the gray correlation comprehensive evaluation model is constructed, which can be directly converted to the score and easily compared or ordered by the results. The results of applying the scheme to the evaluation of "Future Challenge 2012" show that the scores of four racing vehicles are 94.6, 60.5, 80.9, 59.5 and the ranking is Vehicle 1>Vehicle 3>Vehicle2>Vehicle 4, and this ranking obtained by the method is consistent with the result given by the referee group. The proposed method has a certain value, which can provide theoretical reference for evaluation of intelligent behaviors of unmanned vehicles.

Original languageEnglish
Title of host publicationProceedings - 2015 8th International Symposium on Computational Intelligence and Design, ISCID 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages25-29
Number of pages5
ISBN (Electronic)9781467395861
DOIs
Publication statusPublished - 11 May 2016
Event8th International Symposium on Computational Intelligence and Design, ISCID 2015 - Hangzhou, Zhejiang, China
Duration: 12 Dec 201513 Dec 2015

Publication series

NameProceedings - 2015 8th International Symposium on Computational Intelligence and Design, ISCID 2015
Volume1

Conference

Conference8th International Symposium on Computational Intelligence and Design, ISCID 2015
Country/TerritoryChina
CityHangzhou, Zhejiang
Period12/12/1513/12/15

Keywords

  • U-turn evaluation
  • gray correlation
  • improved AHP
  • unmanned vehicle

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