基于车联网驾驶行为评分的安全驾驶卫士分析与设计

发布时间：2018-05-09 21:31

本文选题：车联网 + 安全驾驶卫士　；参考：《南京邮电大学》2017年硕士论文

【摘要】：现如今,汽车已成为市民出行的最重要交通工具之一,城市车辆数逐年增加,道路交通安全成为严峻的社会问题。数据表明,车主的日常驾驶行为和驾驶习惯与道路安全息息相关。针对车联网时代人们对驾驶安全的新要求,本文对影响驾驶安全的行车数据和驾驶行为进行了研究和建模分析,并在此基础上设计实现了一种车联网驾驶安全客户端——驾驶安全卫士,该客户端通过分析车主的驾驶行为,将日常的车辆行驶数据、行驶轨迹、驾驶安全评分和安全等级展现给用户。安全驾驶卫士是车联网相关技术结合驾驶行为分析理论在驾驶安全方面的应用、延伸与实践。本文的主要研究工作如下:(1)对车联网端-管-云体系架构进行了分层研究,其中包括基于智能车载终端的车辆信息感知,车云网数据处理以及客户端结果呈示。在车载终端采集的实车数据基础上,对行驶里程、行驶车速、疲劳驾驶、夜间驾驶以及急加速、急减速、急刹车、急转弯等驾驶行为的安全性进行了研究和描述。(2)在驾驶行为研究的基础上,分析了行车数据中的驾驶安全影响因子,提出了适用于个人车主信息反馈的日常驾驶行为评分模型,并利用改进的熵权层次分析法得出相关驾驶安全指标所占的权重,结合用户的行车数据计算得到其驾驶安全综合评分和安全等级。(3)本文根据个人车主对驾驶安全的实际需求,基于车联网采集处理的真实行车数据,设计了一种能够展示车主日常出行和驾驶行为数据、驾驶风格,提供驾驶安全单项评分、综合评分和安全等级的移动客户端,并通过Appcan移动应用开发平台,利用Html、JavaScript和CSS等前端开发技术完成了其界面和功能的基本实现。
[Abstract]:Nowadays, the automobile has become one of the most important means of transportation for citizens, the number of urban vehicles has increased year by year, and road traffic safety has become a severe social problem. The data show that the daily driving behavior and driving habits of vehicle owners are closely related to road safety. In view of the new requirement of driving safety in the era of vehicle networking, the driving data and driving behavior that affect driving safety are studied and analyzed in this paper. On this basis, the design and implementation of a vehicle network driving security client-driving safety guard, the client through the analysis of the driving behavior of the owner, daily vehicle driving data, driving trajectory, Driving safety scores and safety ratings are presented to users. Safety driver is the application, extension and practice of vehicle networking related technology and driving behavior analysis theory in driving safety. The main research work of this paper is as follows: (1) hierarchical research on vehicle-network-tube-cloud architecture, including vehicle information perception based on intelligent vehicle terminal, vehicle cloud network data processing and client result presentation. On the basis of the actual vehicle data collected by the vehicle terminal, on the basis of driving mileage, driving speed, fatigue driving, driving at night, and speeding up, decelerating, braking, The safety of driving behavior such as sharp turn is studied and described. (2) based on the study of driving behavior, the factors affecting driving safety in driving data are analyzed, and a daily driving behavior scoring model suitable for individual vehicle owners' information feedback is put forward. And using the improved entropy weight analytic hierarchy process to get the weight of the relevant driving safety index, combined with the user's driving data calculation to get its driving safety comprehensive score and safety grade. 3) this article according to the individual owner's actual demand for driving safety, Based on the real driving data collected and processed by the vehicle network, a mobile client is designed to display the daily travel and driving behavior data, driving style, driving safety single score, comprehensive score and safety grade. By using Appcan mobile application development platform, the interface and function are basically realized by using the front-end development technology, such as HtmlPad JavaScript and CSS.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U495;TP311.52

【参考文献】