本文選題：車聯(lián)網(wǎng) + 安全駕駛衛(wèi)士　； 參考：《南京郵電大學(xué)》2017年碩士論文

【摘要】：現(xiàn)如今,汽車已成為市民出行的最重要交通工具之一,城市車輛數(shù)逐年增加,道路交通安全成為嚴峻的社會問題。數(shù)據(jù)表明,車主的日常駕駛行為和駕駛習(xí)慣與道路安全息息相關(guān)。針對車聯(lián)網(wǎng)時代人們對駕駛安全的新要求,本文對影響駕駛安全的行車數(shù)據(jù)和駕駛行為進行了研究和建模分析,并在此基礎(chǔ)上設(shè)計實現(xiàn)了一種車聯(lián)網(wǎng)駕駛安全客戶端——駕駛安全衛(wèi)士,該客戶端通過分析車主的駕駛行為,將日常的車輛行駛數(shù)據(jù)、行駛軌跡、駕駛安全評分和安全等級展現(xiàn)給用戶。安全駕駛衛(wèi)士是車聯(lián)網(wǎng)相關(guān)技術(shù)結(jié)合駕駛行為分析理論在駕駛安全方面的應(yīng)用、延伸與實踐。本文的主要研究工作如下:(1)對車聯(lián)網(wǎng)端-管-云體系架構(gòu)進行了分層研究,其中包括基于智能車載終端的車輛信息感知,車云網(wǎng)數(shù)據(jù)處理以及客戶端結(jié)果呈示。在車載終端采集的實車數(shù)據(jù)基礎(chǔ)上,對行駛里程、行駛車速、疲勞駕駛、夜間駕駛以及急加速、急減速、急剎車、急轉(zhuǎn)彎等駕駛行為的安全性進行了研究和描述。(2)在駕駛行為研究的基礎(chǔ)上,分析了行車數(shù)據(jù)中的駕駛安全影響因子,提出了適用于個人車主信息反饋的日常駕駛行為評分模型,并利用改進的熵權(quán)層次分析法得出相關(guān)駕駛安全指標所占的權(quán)重,結(jié)合用戶的行車數(shù)據(jù)計算得到其駕駛安全綜合評分和安全等級。(3)本文根據(jù)個人車主對駕駛安全的實際需求,基于車聯(lián)網(wǎng)采集處理的真實行車數(shù)據(jù),設(shè)計了一種能夠展示車主日常出行和駕駛行為數(shù)據(jù)、駕駛風(fēng)格,提供駕駛安全單項評分、綜合評分和安全等級的移動客戶端,并通過Appcan移動應(yīng)用開發(fā)平臺,利用Html、JavaScript和CSS等前端開發(fā)技術(shù)完成了其界面和功能的基本實現(xiàn)。
[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.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：U495;TP311.52

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本文編號：1867453