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Safety assessment of intelligent vehicles considering drivers’ risk perception information under interval 2-tuple q-rung Orthopair Fuzzy Sets

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成果类型:
期刊论文
作者:
Wang, Danqi;Deng, Wengang;Hu, Lin;Huang, Zhongwei;Lu, Yikang;...
通讯作者:
Zhang, HH
作者机构:
[Hu, Lin; Wang, Danqi; Lu, Yikang; Deng, Wengang] Changsha Univ Sci & Technol, Coll Automot & Mech Engn, Changsha, Peoples R China.
[Hu, Lin; Wang, Danqi] Higher Educ Inst Hunan Prov, Sci & Technol Innovat Res Team, Changsha, Peoples R China.
[Zhang, Honghao; Huang, Zhongwei; Zhang, HH] Shandong Univ, Sch Mech Engn, Key Lab High Efficiency & Clean Mech Manufacture, Minist Educ, Jinan 250061, Peoples R China.
通讯机构:
[Zhang, HH ] S
Shandong Univ, Sch Mech Engn, Key Lab High Efficiency & Clean Mech Manufacture, Minist Educ, Jinan 250061, Peoples R China.
语种:
英文
关键词:
Safety assessment;Intelligent vehicles;Risk perception;Decision-making;Interval 2-tuple q -rung Orthopair fuzzy sets
期刊:
Applied Soft Computing
ISSN:
1568-4946
年:
2025
卷:
175
页码:
112919
基金类别:
Fund Project of the Hunan Provincial Department of Education [24B0302]; Natural Science Foundation of Hunan [2025JJ50257]; National Natural Science Funds for Distinguished Young Scholar [52325211]; Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province [2024RC1029]; Chongqing Technology Innovation and Application Development Project [CSTB2023YSZX-JSX0003]; Hunan Provincial Innovation Foundation for Postgraduate [CX20230876]
机构署名:
本校为第一机构
院系归属:
汽车与机械工程学院
摘要:
The safety assessment of intelligent vehicles as an important part of the intelligent vehicle industry is used to assess the safety of vehicles on the road. Drivers' risk perception affects their driving behavior, so taking it into account in safety assessments can more accurately assess the safety of intelligent vehicles. Decision-makers often have difficulty choosing the best option from multiple indicators in a safety assessment. The primary objective of this paper is to assess the safety of intelligent vehicles, considering drivers' risk perception in a fuzzy environment. A multi-level eva...

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