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封闭式智能网联汽车测试场可靠性评价方法 被引量:4

Reliability evaluation method of closed test fields for intelligent connected vehicles
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摘要 为研究封闭式智能网联汽车测试场对智能网联汽车自动驾驶性能测试的可靠性,建立了符合封闭式智能网联环境下4种典型测试场景的18种测试工况。采用层次分析法构建智能网联汽车测试场评价体系,通过专家问卷法标定了4种典型测试场景的18种测试工况对应的权重系数,引入场地测试车辆饱和度、单次实验通过率、综合实验通过率与测试信度系数等评价指标,提出封闭式智能网联汽车测试场可靠性评价方法。以达安智能网联汽车测试场为研究对象,基于Prescan仿真软件、SketchUp三维绘图软件以及Matlab/simulink建模软件进行虚拟场景搭建及联合仿真,对所提出的评价方法进行验证。结果表明,该评价方法对于封闭式智能网联汽车测试场的设计改善与测试评价方面具有较好的适用性。根据评价结果可以指导测试车辆选择合适的场地道路,并对测试场的设计和建设提出改善措施和优化建议。 In order to study the reliability of automatic driving performance tests of intelligent connected vehicles by using a closed test field,this study establishes 18 test conditions that conform to four typical test scenarios in a closed intelligent connected environment.The evaluation system of the intelligent connected vehicle test field is constructed by Analytic Hierarchy Process,and the weight coefficients corresponding to the 18 test conditions in the four typical test scenarios are calibrated by expert questionnaire method.The reliability evaluation method for the closed intelligent connected vehicle test field is then proposed by introducing the evaluation indexes such as vehicle saturation in tests,single test pass rate,comprehensive test pass rate and test reliability coefficient.Taking Da’an intelligent connected vehicle test field as the research object,the proposed evaluation method is verified based on some software for virtual scene construction and co-simulation,such as Prescan simulation,SketchUp 3D drawing and Matlab/Simulink modeling.The results show that the evaluation method has good applicability to the design improvement and test evaluation of closed test fields for intelligent connected vehicles.According to the evaluation results,the test vehicle can be guided to choose the appropriate field road,and the improvement measures and optimization suggestions can be put forward for the design and construction of the test field.
作者 宗晨宏 马健霄 陆涛 ZONG Chenhong;MA Jianxiao;LU Tao(College of Automobile and Traffic Engineering,Nanjing Forestry University,Nanjing 210037,China)
出处 《重庆理工大学学报(自然科学)》 CAS 北大核心 2023年第4期105-114,共10页 Journal of Chongqing University of Technology:Natural Science
基金 江苏省交通运输科技项目(2016T04) 南京市科协软科学研究项目(NJKX2017RKX-05)。
关键词 智能网联汽车测试场 测试场景 可靠性 测试评价 intelligent connected vehicle test field test scenario reliability test evaluation
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