智能交通系统中TPEG编码及发布系统的设计与实现
发布时间：2018-11-05 20:09
【摘要】：随着社会的快速发展,道路交通资源有限,城市交通压力越来越大。智能交通系统的出现目的就在于利用有限的道路资源最大程度地为出行者提供服务,从而改善道路交通状况。本文研究重点即交通信息服务系统,使用浮动车数据作为交通信息源数据,经过地图匹配、信息处理、TPEG编码等步骤进行处理,最后由发布服务器为出行者和管理者提供服务。本文首先提出了交通信息系统的总体设计方案,由六大子系统构成：即采集通信子系统、地图匹配子系统、数据处理子系统、TPEG编码子系统、TPEG发布子系统和数据库子系统。通过采集浮动车交通数据,经过数据处理得到实时交通信息数据,通过TPEG编码器生成XML文件,交由发布服务器进行发布。系统总体架构采用客户端／服务器模式,编写了PC客户端和安卓客户端,访问发布服务器即可获得交通信息。本文对TPEG编码子系统和发布子系统进行了详细的描述。首先,提出了一种地图数据预处理的方法,即对地图中包含的全部LINK进行筛选和融合,去除了冗余信息,提高了数据处理效率和最终的用户体验；其次设计了TPEG编码器,该编码器包含了TPEG协议中所有的交通信息,是一个通用的TPEG编码器,并且研究和扩展了TPEG协议,使其具有表达交通图片信息的能力,并编写软件进行编码和解码功能验证；最后设计了发布子系统,发布子系统为了高效性,使用了WEB服务器和文件服务器,通过向客户端返回XML文件的形式为客户端提供实时交通信息、历史交通信息和预测交通信息的查询服务,其中预测交通信息对比使用了BP神经网络和小波神经网络等算法,历史交通信息则通过查询数据库获得。在第三章和第四章的最后一小节,分别对编码子系统和发布子系统进行了性能测试,测试结果表明,TPEG编码器可以在每个信息发布周期时间内完成编码,编码结果符合TPEG标准,发布服务器可以为PC客户端和安卓客户端提供稳定而高效的服务,服务器响应时间大约为1-2s,可以提供1000左右的并发连接。系统的性能指标完全符合设计要求,是一个可行的智能交通系统应用案例。
[Abstract]:With the rapid development of society, road traffic resources are limited, urban traffic pressure is increasing. The purpose of Intelligent Transportation system (its) is to make use of limited road resources to provide services to travelers to the greatest extent, thus improving road traffic conditions. This paper focuses on the traffic information service system, using floating vehicle data as the traffic information source data, through map matching, information processing, TPEG coding and other steps. Finally, the publisher provides services for travelers and managers. In this paper, the overall design scheme of traffic information system is proposed, which consists of six subsystems: acquisition and communication subsystem, map matching subsystem, data processing subsystem, TPEG coding subsystem, TPEG publishing subsystem and database subsystem. The traffic data of floating vehicle are collected and real-time traffic information is obtained through data processing. XML files are generated by TPEG encoder and distributed by the publishing server. The overall architecture of the system adopts the client / server mode, and the PC client and the Android client are written. The traffic information can be obtained by accessing the publisher. This paper describes the TPEG coding subsystem and the distribution subsystem in detail. Firstly, a method of map data preprocessing is proposed, that is, the LINK contained in the map is filtered and fused, the redundant information is removed, and the efficiency of data processing and the final user experience are improved. Secondly, the TPEG encoder is designed, which contains all the traffic information in the TPEG protocol. It is a general TPEG encoder, and the TPEG protocol is researched and extended to express the traffic picture information. And write the software to code and decode function verification; Finally, the release subsystem is designed. For the sake of high efficiency, the WEB server and file server are used to provide real-time traffic information to the client by returning the XML file to the client. BP neural network and wavelet neural network are used to compare the traffic information between historical traffic information and forecast traffic information, and historical traffic information is obtained by querying database. In the last section of chapter 3 and chapter 4, the performance of coding subsystem and publishing subsystem are tested respectively. The test results show that the TPEG encoder can complete the coding in each information release cycle, and the coding results conform to the TPEG standard. Publishers can provide stable and efficient services for both PC and Android clients, with a response time of about 1 to 2 s and about 1000 concurrent connections. The performance of the system fully meets the design requirements, and it is a feasible application case of intelligent transportation system.
【学位授予单位】：大连理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U495
本文编号：2313280
[Abstract]:With the rapid development of society, road traffic resources are limited, urban traffic pressure is increasing. The purpose of Intelligent Transportation system (its) is to make use of limited road resources to provide services to travelers to the greatest extent, thus improving road traffic conditions. This paper focuses on the traffic information service system, using floating vehicle data as the traffic information source data, through map matching, information processing, TPEG coding and other steps. Finally, the publisher provides services for travelers and managers. In this paper, the overall design scheme of traffic information system is proposed, which consists of six subsystems: acquisition and communication subsystem, map matching subsystem, data processing subsystem, TPEG coding subsystem, TPEG publishing subsystem and database subsystem. The traffic data of floating vehicle are collected and real-time traffic information is obtained through data processing. XML files are generated by TPEG encoder and distributed by the publishing server. The overall architecture of the system adopts the client / server mode, and the PC client and the Android client are written. The traffic information can be obtained by accessing the publisher. This paper describes the TPEG coding subsystem and the distribution subsystem in detail. Firstly, a method of map data preprocessing is proposed, that is, the LINK contained in the map is filtered and fused, the redundant information is removed, and the efficiency of data processing and the final user experience are improved. Secondly, the TPEG encoder is designed, which contains all the traffic information in the TPEG protocol. It is a general TPEG encoder, and the TPEG protocol is researched and extended to express the traffic picture information. And write the software to code and decode function verification; Finally, the release subsystem is designed. For the sake of high efficiency, the WEB server and file server are used to provide real-time traffic information to the client by returning the XML file to the client. BP neural network and wavelet neural network are used to compare the traffic information between historical traffic information and forecast traffic information, and historical traffic information is obtained by querying database. In the last section of chapter 3 and chapter 4, the performance of coding subsystem and publishing subsystem are tested respectively. The test results show that the TPEG encoder can complete the coding in each information release cycle, and the coding results conform to the TPEG standard. Publishers can provide stable and efficient services for both PC and Android clients, with a response time of about 1 to 2 s and about 1000 concurrent connections. The performance of the system fully meets the design requirements, and it is a feasible application case of intelligent transportation system.
【学位授予单位】：大连理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U495
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