车联网环境下道路行车安全性评价系统
首发时间:2017-12-12
摘要:本文基于车载智能系统的数据采车联网环境下道路行车安全性评价系统集能力和车联网提供的数据交互能力,通过以支持向量机为核心的行为识别分类器,对车载智能系统在每个时间窗口采集的数据进行计算,从而得到该时间窗口内车辆的基本驾驶行为。进而通过异常驾驶行为识别模型,对车辆的异常驾驶行为进行统计分析并上报。然后在服务端,统计发生在同一位置区域的异常驾驶数据,并使用层次分析法得到道路安全性的动态得分,然后综合以道路静态指标为核心的传统评价模型计算得到的静态得分,最终得到道路安全性的综合评分。该系统对于及时发现道路存在的隐患问题,从而降低事故率、减少人员伤亡和财产损失具有重要意义。
关键词: 物联网 道路安全性 车联网 车载智能系统 异常驾驶行为检测
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Evaluation system of roadway safety under the internet of vehicles environment
Abstract:Based on the data acquisition ability of vehicle intelligent system and the data interaction ability provided by vehicle network, this paper calculates the data collected by vehicle intelligent system in each time window through the behavior recognition classifier with support vector machine as the core, so as to obtain the basic driving behavior of the vehicle in the time window. Then through the abnormal driving behavior identification model, the abnormal driving behavior of the vehicle is statistically analyzed and reported. Then, on the server side, the abnormal driving data in the same area is counted and the dynamic score of the road safety is obtained by AHP. After that, the static score calculated by the traditional evaluation model with the static road index as the core is obtained, and finally the road is obtained its comprehensive rating of safety. The system is of great importance for timely detection of hidden problems in the road, thereby reducing the accident rate, casualties and property losses.
Keywords: Internet of Things Roadway safety Internet of Vehicles Vehicle Intelligent System Abnormal driving behavior detection
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