本文選題：智能交通 + 行車規(guī)則��； 參考：《哈爾濱工業(yè)大學》2015年碩士論文

【摘要】：伴隨著經(jīng)濟迅猛發(fā)展與社會快速進步的同時,機動車慢慢已經(jīng)成為人們生活的必需品,同時營運車輛也快速增長,旅游包車、客運車、危險品運輸車、貨運車、物流車、公交、的士等等,這些車輛的增長導致了一系列的社會問題,迫切需要一個解決方案,來處理人、車、路和環(huán)境的關系----車輛監(jiān)控、車輛查找、人車交互、司機監(jiān)管、規(guī)范駕駛。本論文從社會需求與市場背景出發(fā),尋求一套車輛監(jiān)管方案。首先,對智能交通監(jiān)管系統(tǒng)進行理論研究與分析,收集國內外智能交通發(fā)展現(xiàn)狀的相關資料,進行了充分的分析與研究,結合國內交通的特殊情況,總結出國內智能交通車輛監(jiān)管的發(fā)展趨勢,制定本課題研究的主要范疇與關鍵內容,根據(jù)調研的結果,然后收集分析需求,做好概要設計的工作,再次調研,在符合現(xiàn)實需求的情況下再進行詳細設計與實現(xiàn)工作。研究涉及的關鍵技術,并進行可行性分析。其次,在需求分析的基礎上,制定了詳盡的解決方案,結合衛(wèi)星定位系統(tǒng)、GIS技術、無線網(wǎng)絡數(shù)據(jù)傳輸與系統(tǒng)平臺數(shù)據(jù)分析處理,研發(fā)出一套智能交通車輛監(jiān)管系統(tǒng),對車輛進行監(jiān)控、管理,實現(xiàn)人車交互,規(guī)范駕駛行為,防止交通意外,了解車輛動態(tài)等。此系統(tǒng)的關鍵技術有,高并發(fā)解決方案,行車規(guī)則中車輛是否越界的高效分析判斷。高并發(fā)就是有限的計算機資源的情況下,盡可能多的實時高效的處理、響應客戶端的請求,通過合理巧妙的設計,使用網(wǎng)絡通訊的核心底層技術編程設計,讓服務器的CPU、內存、帶寬得到充分的利用,從編程設計層面解決高并發(fā)的問題。而行車規(guī)則,是指規(guī)范車輛與駕駛員的行為,如高效匹配車輛與區(qū)域的關系,區(qū)域由N個點組成,車輛當前位置與指定區(qū)域的關系判斷要進行大數(shù)據(jù)的計算,如果當前在線車輛多的話,計算量更加巨大,所以,只有高效的匹配算法才能解決這個問題。系統(tǒng)平臺通過通道網(wǎng)關接收到車載終端的位置、速度、方向、狀態(tài)等數(shù)據(jù)后,進行協(xié)議轉換,把平臺與硬件終端的協(xié)議轉化成為平臺交互協(xié)議,把數(shù)據(jù)上行到數(shù)據(jù)計算分析中心,對數(shù)據(jù)進行分析處理,判斷車輛是否符合指定的行駛規(guī)范,分析車輛是否報警,根據(jù)需求是否給終端下發(fā)拍照、提醒指令等,然后再把處理后的數(shù)據(jù)入庫存檔,這是項目主要業(yè)務流程與監(jiān)管方法。
[Abstract]:Along with the rapid development of economy and the rapid progress of society, motor vehicles have gradually become a necessity of people's life, and the operating vehicles have also grown rapidly, such as charter cars, passenger cars, dangerous goods carriers, freight cars, logistics vehicles, public transport vehicles, and so on. Taxis and so on, the growth of these vehicles has led to a series of social problems, and there is an urgent need for a solution to deal with the relationships between people, cars, roads and environments-vehicle monitoring, vehicle lookup, human-car interaction, driver supervision, and regulation of driving. Based on the social demand and market background, this paper seeks a set of vehicle supervision scheme. First of all, the theory of intelligent transportation supervision system is studied and analyzed, and the relevant information about the development of intelligent transportation at home and abroad is collected, and it is fully analyzed and studied, combining with the special situation of domestic transportation. This paper summarizes the development trend of intelligent transportation vehicle supervision in China, formulates the main categories and key contents of this research, according to the results of the investigation, then collects and analyzes the demand, makes a good summary of the design work, and investigates again. In accordance with the actual needs of the case of detailed design and implementation. The key technologies involved in the study are studied and feasibility analysis is carried out. Secondly, on the basis of requirement analysis, a detailed solution is developed, which combines satellite positioning system (GIS) technology, wireless network data transmission and system platform data analysis and processing, and develops a set of intelligent transportation vehicle supervision system. Monitor and manage vehicles, realize interaction between people and cars, standardize driving behavior, prevent traffic accidents, and understand vehicle dynamics. The key technologies of this system include high concurrency solution and efficient analysis and judgment of whether the vehicle is crossing the boundary in the driving rules. High concurrency is the case of limited computer resources, as much real-time and efficient processing as possible, in response to the request of the client, through reasonable and ingenious design, using the core underlying technology of network communication to program and design, so that the server's CPU, memory, Bandwidth is fully utilized to solve the problem of high concurrency from programming design level. The driving rules refer to the regulation of the behavior of the vehicle and the driver, such as efficiently matching the relationship between the vehicle and the region, the area is composed of N points, and the relationship between the current position of the vehicle and the designated area is judged by the calculation of big data. If there are more online vehicles, the computation is much larger, so only an efficient matching algorithm can solve this problem. After receiving the position, speed, direction, status and other data of the vehicle terminal through the channel gateway, the system platform converts the protocol between the platform and the hardware terminal into the platform interaction protocol. Uplink the data to the data calculation and analysis center, analyze and process the data, judge whether the vehicle conforms to the specified driving specifications, analyze whether the vehicle is alarming, send pictures to the terminal according to the demand, remind the instructions, etc. Then the processed data is archived, which is the project's main business process and supervision method.
【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U495;TP311.52

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