基于CAN数据的安全驾驶评价的建模与分析  

The modeling and analysis for assessment of safe driving based on CAN data

作　　者：张家波[1] 王超凡[1] 

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆404100

出　　处：《电子技术应用》2017年第4期24-28,共5页Application of Electronic Technique

基　　金：四川省高校重点实验室开放项目(QXXCSYS201505);重庆邮电大学教改项目(XJG1301);国家重大科学仪器设备开发专项(2012YQ20022404)

摘　　要：研究中自主搭建车辆CAN数据采集平台,提出以行车安全性为主,辅以乘车舒适度和机动车油耗量共3个指标评价驾驶人的综合素质,其很大程度上反应了驾驶安全,涉及到方向盘转角熵值、方向盘转角速率、机动车速度熵值等7个因素。模型中先用层次分析法建立单因素权重向量,然后建立隶属度函数确定单因素模糊判断矩阵,最后结合最大隶属度原则对模型求解评定驾驶人的综合素质。实践表明,此模型为驾驶安全的评价提供了一个简单有效的数据分析方法。The study set up a platform for gathering CAN data from the vehicles independently. The system proposed 3 accessing index for drivers＇ comprehensive quality based on driving safety mainly, supplemented by riding comfortably and fuel consumption of vehicles, which reflects the driving safety to a large extent. The model analyze these index from 7 factors the entropy of steering wheel angle, the entropy of vehicle speed, steering angle rate and so on. Firstly, the analytic hierarchy process（AHP） was used to establish a single factor weight vector. Then the single factor fuzzy judgment matrix was calculated by membership function. Finally,we got the result of the driver′s comprehensive quality using maximum membership. The practice show that this model provides a simple and accurate data analysis method for driving safety.

关 键 词：安全驾驶 CAN 层次分析法 熵值 数据分析 

分 类 号：TN919.5[电子电信—通信与信息系统]