摘要
为研究智能汽车测试工况有效性定量评价的问题,对基于行车风险场的危险度模型进行改进,改进危险度模型主要考虑不同车道正常行驶车辆应为无风险车辆,从而提出了横向安全距离因子。考虑势能场就是动能场速度为0的特殊形式,将势能场和动能场进行了统一。定义了行车环境各要素的复杂度,复杂度用来描述车辆行驶环境的复杂程度,雨雪雾等越大越复杂,传感器识别范围内的物体越多越复杂,物体体积越小越复杂,物体变化越多越不规律越复杂,提出复杂度最大值是100,最小值0,行车环境复杂度为各项要素复杂度之和。综合考虑用户工况和测试工况的复杂度与危险度覆盖率、最大值及分布情况,构建了基于危险度和复杂度的用户与测试工况关联评价模型。结合算例,对3个测试规程的有效性进行了分析和评估。当评价指标权重分配相等时,测试规程3的有效性最高,规程2次之,规程1有效性最低。当调高复杂度指标权重时,测试规程2的有效性指数最高。结果表明,评价模型实现了对测试工况有效性的定量评价,更加全面评估测试工况的有效性,指标权重分配能够影响评价结果。
In order to study the quantitative evaluation of the effectiveness of intelligent vehicle test conditions,the risk model based on driving risk field is improved considering that the normal driving vehicles in different lanes should be risk-free vehicles,and the transverse safe distance factor is proposed.Considering that potential energy field is a special form of kinetic energy field with zero velocity,the potential energy field and the kinetic energy field are unified.The complexity of the driving environment elements is defined to describe the complexity of the traffic environment complexity.The stronger the rain/snow/fog,the more objects the sensor recognizes within the scope of object,the smaller the object size,the more the object changes and the more irregular and complex it become,the more complex.It is proposed that the maximum complexity is 100 and the minimum one is 0,and the complexity of driving environment is the sum of the complexity of all the elements.Considering the coverage rate of complexity degree and risk degree,maximum value and distribution of user and test conditions comprehensively,the evaluation model of user and test conditions association based on risk degree and complexity degree is constructed.The effectiveness of 3 test procedures is analyzed and evaluated with the numerical example,showing that when the weights of evaluation indicators are equally distributed,third test procedure has the highest effectiveness,followed by the second test procedure,and the first test procedure has the lowest effectiveness.When the weights of complexity indicators are increased,the second test procedure has the highest effectiveness..The result shows that the evaluation model can quantitatively evaluate the effectiveness of test conditions,the effectiveness of the test condition can be evaluated more comprehensively,and the indicator weight allocation can affect the evaluation result.
作者
李文亮
周炜
宋毅
张禄
张金玲
LI Wen-liang;ZHOU Wei;SONG Yi;ZHANG Lu;ZHANG Jin-ling(Key Laboratory of Operation Safety Technology on Transport Vehicles,Ministry of Transport,Beijing 100088,China;School of Electronic Engineering,Beijing University of Posts and Telecommunications Beijing 100876,China)
出处
《公路交通科技》
CAS
CSCD
北大核心
2021年第5期109-114,共6页
Journal of Highway and Transportation Research and Development
基金
国家重点研发计划项目(2017YFC0804800)。
关键词
汽车工程
危险度
复杂度
智能汽车
有效性指数
automobile engineering
risk degree
complexity degree
intelligent vehicle
effectiveness index
作者简介
李文亮(1982-),男,河北定州人,博士.(wl.li@rioh.cn)。
