發(fā)布時(shí)間：2018-11-05 20:09

【摘要】：隨著社會(huì)的快速發(fā)展,道路交通資源有限,城市交通壓力越來(lái)越大。智能交通系統(tǒng)的出現(xiàn)目的就在于利用有限的道路資源最大程度地為出行者提供服務(wù),從而改善道路交通狀況。本文研究重點(diǎn)即交通信息服務(wù)系統(tǒng),使用浮動(dòng)車(chē)數(shù)據(jù)作為交通信息源數(shù)據(jù),經(jīng)過(guò)地圖匹配、信息處理、TPEG編碼等步驟進(jìn)行處理,最后由發(fā)布服務(wù)器為出行者和管理者提供服務(wù)。本文首先提出了交通信息系統(tǒng)的總體設(shè)計(jì)方案,由六大子系統(tǒng)構(gòu)成：即采集通信子系統(tǒng)、地圖匹配子系統(tǒng)、數(shù)據(jù)處理子系統(tǒng)、TPEG編碼子系統(tǒng)、TPEG發(fā)布子系統(tǒng)和數(shù)據(jù)庫(kù)子系統(tǒng)。通過(guò)采集浮動(dòng)車(chē)交通數(shù)據(jù),經(jīng)過(guò)數(shù)據(jù)處理得到實(shí)時(shí)交通信息數(shù)據(jù),通過(guò)TPEG編碼器生成XML文件,交由發(fā)布服務(wù)器進(jìn)行發(fā)布。系統(tǒng)總體架構(gòu)采用客戶(hù)端／服務(wù)器模式,編寫(xiě)了PC客戶(hù)端和安卓客戶(hù)端,訪問(wèn)發(fā)布服務(wù)器即可獲得交通信息。本文對(duì)TPEG編碼子系統(tǒng)和發(fā)布子系統(tǒng)進(jìn)行了詳細(xì)的描述。首先,提出了一種地圖數(shù)據(jù)預(yù)處理的方法,即對(duì)地圖中包含的全部LINK進(jìn)行篩選和融合,去除了冗余信息,提高了數(shù)據(jù)處理效率和最終的用戶(hù)體驗(yàn)；其次設(shè)計(jì)了TPEG編碼器,該編碼器包含了TPEG協(xié)議中所有的交通信息,是一個(gè)通用的TPEG編碼器,并且研究和擴(kuò)展了TPEG協(xié)議,使其具有表達(dá)交通圖片信息的能力,并編寫(xiě)軟件進(jìn)行編碼和解碼功能驗(yàn)證；最后設(shè)計(jì)了發(fā)布子系統(tǒng),發(fā)布子系統(tǒng)為了高效性,使用了WEB服務(wù)器和文件服務(wù)器,通過(guò)向客戶(hù)端返回XML文件的形式為客戶(hù)端提供實(shí)時(shí)交通信息、歷史交通信息和預(yù)測(cè)交通信息的查詢(xún)服務(wù),其中預(yù)測(cè)交通信息對(duì)比使用了BP神經(jīng)網(wǎng)絡(luò)和小波神經(jīng)網(wǎng)絡(luò)等算法,歷史交通信息則通過(guò)查詢(xún)數(shù)據(jù)庫(kù)獲得。在第三章和第四章的最后一小節(jié),分別對(duì)編碼子系統(tǒng)和發(fā)布子系統(tǒng)進(jìn)行了性能測(cè)試,測(cè)試結(jié)果表明,TPEG編碼器可以在每個(gè)信息發(fā)布周期時(shí)間內(nèi)完成編碼,編碼結(jié)果符合TPEG標(biāo)準(zhǔn),發(fā)布服務(wù)器可以為PC客戶(hù)端和安卓客戶(hù)端提供穩(wěn)定而高效的服務(wù),服務(wù)器響應(yīng)時(shí)間大約為1-2s,可以提供1000左右的并發(fā)連接。系統(tǒng)的性能指標(biāo)完全符合設(shè)計(jì)要求,是一個(gè)可行的智能交通系統(tǒng)應(yīng)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.
【學(xué)位授予單位】：大連理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：U495

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本文編號(hào)：2313280