摘要
针对动态车辆安全状态评价指标参数多源、异构、动态的特点,系统地分析了影响车辆安全状态的驾驶员、车辆和环境因素并进行了信息分类,构建了车辆安全状态评价体系.基于模糊综合评判原理建立了车辆安全状态模糊综合评价模型,车辆行驶过程中通过车载终端提取评价指标的动态参数,得出车辆安全状态模糊评价集并基于加权平均原则计算其最大隶属度,根据最大"贴近度"原则对车辆直线跟车行驶和转弯行驶的安全状态进行评判,为动态车辆安全状态评价提供了一种新方法.
Aiming at various, heterogeneous, dynamic characteristics of the synthesized evaluation data for dy- namic vehicle safety status, the influence factors of vehicle safety status including driver, vehicle and environ- ment were systematically analyzed and sorted. An evaluation system and evaluation model for dynamic vehicle safety status were built based on the fuzzy comprehensive evaluation theory. The dynamic parameters of evalua- tion indexes were automatically obtained from vehicle terminal, and the evaluation vector and its maximum membership value were calculated. The safety status of vehicle moving along a straight or a curvature road was judged by the principle of maximum hamming. This model provides a new method of evaluating dynamic vehi- cle safety status.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2012年第4期131-135,共5页
Journal of Harbin Institute of Technology
基金
国家高技术研究发展计划项目(2009AA11Z215)
国家自然科学基金资助项目(50978116)
关键词
交通安全
车路协同
信息分类
模糊综合评判
traffic safety
car-way synergy
data classification
fuzzy comprehensive evaluation