基于模糊综合评价的驾驶安全性评价研究

随着经济的发展,人均汽车保有量快速增长,道路交通安全问题造成了巨大的人员伤亡,进行驾驶行为安全性评价十分必要。首先对驾驶行为安全性评价指标体系进行了研究,从行驶里程、超速时间、危险操作等方面构建评价指标体系,运用层次分析法为评价指标分配权重。其次对驾驶行为安全性评价方法进行了研究,采用模糊综合评价法进行驾驶行为安全性评价,从构造因素集、评语集、权向量、隶属度矩阵、模糊综合评价结果矩阵五个环节进行量化分析。然后在Android平台上实现驾驶行为安全性评价系统。最后经OBDII模拟器实验和实车测试表明上述方法和实现的系统能够实时准确地对驾驶行为安全性进行评价。

Research on Driving Safety Evaluation Technology Based on Fuzzy Comprehensive Evaluation

With the development of the economy, the per capita car ownership has increased rapidly, and road traffic safety has caused huge casualties. It is necessary to evaluate the safety of driving behavior. Firstly, the evaluation index system of driving behavior safety is studied. The evaluation index system is constructed from the aspects of driving mileage, overspeed time and dangerous operation , and AHP was used to assign weights to evaluation indicators. Secondly, the safety evaluation method of driving behavior is studied. The fuzzy comprehensive evaluation method is used to evaluate the safety of driving behavior. The driving behavior is quantitatively analyzed from five stages: construction factor set, comment set, weight vector, membership degree matrix and fuzzy comprehensive evaluation result matrix. Then, the driving behavior safety evaluation system is implemented on the Android-based development platform. Finally, the OBDII simulator experiment and the real vehicle test show that the above method and the implemented system can accurately evaluate the driving behavior safety in real time.