交通信息与安全2023，Vol.41Issue(5)：35-42,8.DOI:10.3963/j.jssn.1674-4861.2023.05.004
基于改进云组合赋权的智能网联驾驶场景安全性评价方法
A Method for Evaluating Safety of Driving Scenes with Intelligent Connected Vehicles Based on an Improved Cloud Combination Weighting
摘要
Abstract
Accurate and reliable safety evaluation of driving scenarios is the basis for promotion and application of intelligent connected vehicles.However,fuzziness and randomness brought by complex and changeable driving sce-narios cannot be fully considered by evaluation methods based on fixed weighting.A safety evaluation method for driving scenarios of intelligent connected vehicles based on improved cloud combination weighting is proposed.The driving scenarios element database of intelligent connected vehicles is established,which includes static envi-ronment,dynamic behavior,intelligent element layers.A scenarios design scheme is developed.The scenarios are deconstructed into functional scenarios,logical scenarios,and specific scenarios.Each scenario is carefully de-signed with relevant elements.The concept of cloud model and the game theory are combined to improve cloud combination weighting.A comprehensive cloud is constructed based on the cloud model algorithm to characterize the security of each scenario,and an ideal cloud evaluation model is established.The relative similarity index is put forward as an evaluation result,enabling quantitative analysis and ranking of scenario safety.The reliability of this method is verified by comparing with the analytic hierarchy process(AHP),superiority chart,entropy method,varia-tion coefficient method,game combination weighting,and normal cloud combination weighting.The Pearson corre-lation coefficient between evaluation and simulation results is 0.649,significantly correlated at the 99%confidence level.It is 5.5%,7.8%,19.7%,13.7%,8.1%,and 0.8%higher than the above evaluation methods,respectively.In the simulation test,the accuracy of accident identification of the proposed method is 78.13%,higher than the 44.29%used by Baumann et al,and 57.2%used by Xia et al.The result shows advantages of subjective and objec-tive weighting evaluation methods.Inauthentic evaluation results caused by the current fixed numerical weight are improved,and the accuracy of relevant evaluation is increased.关键词
交通安全/智能网联驾驶场景/安全评价/改进云组合赋权/交通仿真Key words
traffic safety/driving scenarios of intelligent connected vehicles/safety evaluation/improved cloud combination weighting/traffic simulation分类
交通工程引用本文复制引用
庞劭荣,张诗波,罗龙浩,骆勇,李敏..基于改进云组合赋权的智能网联驾驶场景安全性评价方法[J].交通信息与安全,2023,41(5):35-42,8.基金项目
国家自然科学基金项目(52102384)、四川省科技厅重点研发项目(2022YFG0132)、西华大学校重点项目(Z211005)、四川省现代道路行车安全保障工程技术研究中心科研项目(2021-ZD-03)资助 （52102384）
