智能交通车辆监管系统的设计与实现

发布时间：2018-05-19 09:34

本文选题：智能交通 + 行车规则　；参考：《哈尔滨工业大学》2015年硕士论文

【摘要】：伴随着经济迅猛发展与社会快速进步的同时,机动车慢慢已经成为人们生活的必需品,同时营运车辆也快速增长,旅游包车、客运车、危险品运输车、货运车、物流车、公交、的士等等,这些车辆的增长导致了一系列的社会问题,迫切需要一个解决方案,来处理人、车、路和环境的关系----车辆监控、车辆查找、人车交互、司机监管、规范驾驶。本论文从社会需求与市场背景出发,寻求一套车辆监管方案。首先,对智能交通监管系统进行理论研究与分析,收集国内外智能交通发展现状的相关资料,进行了充分的分析与研究,结合国内交通的特殊情况,总结出国内智能交通车辆监管的发展趋势,制定本课题研究的主要范畴与关键内容,根据调研的结果,然后收集分析需求,做好概要设计的工作,再次调研,在符合现实需求的情况下再进行详细设计与实现工作。研究涉及的关键技术,并进行可行性分析。其次,在需求分析的基础上,制定了详尽的解决方案,结合卫星定位系统、GIS技术、无线网络数据传输与系统平台数据分析处理,研发出一套智能交通车辆监管系统,对车辆进行监控、管理,实现人车交互,规范驾驶行为,防止交通意外,了解车辆动态等。此系统的关键技术有,高并发解决方案,行车规则中车辆是否越界的高效分析判断。高并发就是有限的计算机资源的情况下,尽可能多的实时高效的处理、响应客户端的请求,通过合理巧妙的设计,使用网络通讯的核心底层技术编程设计,让服务器的CPU、内存、带宽得到充分的利用,从编程设计层面解决高并发的问题。而行车规则,是指规范车辆与驾驶员的行为,如高效匹配车辆与区域的关系,区域由N个点组成,车辆当前位置与指定区域的关系判断要进行大数据的计算,如果当前在线车辆多的话,计算量更加巨大,所以,只有高效的匹配算法才能解决这个问题。系统平台通过通道网关接收到车载终端的位置、速度、方向、状态等数据后,进行协议转换,把平台与硬件终端的协议转化成为平台交互协议,把数据上行到数据计算分析中心,对数据进行分析处理,判断车辆是否符合指定的行驶规范,分析车辆是否报警,根据需求是否给终端下发拍照、提醒指令等,然后再把处理后的数据入库存档,这是项目主要业务流程与监管方法。
[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.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U495;TP311.52

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