【摘要】：隨著城市規(guī)模的極速擴(kuò)大,城市中的交通資源已經(jīng)不能趕上城市的擴(kuò)張速度。由于交通資源的緊張,導(dǎo)致了一系列社會(huì)問題：交通擁堵,交通事故頻發(fā),出行時(shí)間冗長等。隨著近兩年物聯(lián)網(wǎng)、車聯(lián)網(wǎng)、車路協(xié)同和互聯(lián)網(wǎng)大數(shù)據(jù)的蓬勃發(fā)展,融合各種領(lǐng)域領(lǐng)先技術(shù)的智能交通誘導(dǎo)系統(tǒng)應(yīng)運(yùn)而生。但是目前的交通誘導(dǎo)服務(wù)平臺(tái)存在著以下的問題：不能承載海量的用戶數(shù),開發(fā)和實(shí)驗(yàn)周期非常長,大數(shù)據(jù)的處理能力不能滿足要求。 為此,本文在調(diào)研了各個(gè)領(lǐng)域的研究前沿后,針對(duì)上述問題提出了一套針對(duì)性的解決方案。PHP是當(dāng)今開發(fā)效率最高的語言,因此通過PHP開發(fā)誘導(dǎo)服務(wù)平臺(tái)有得天獨(dú)厚的優(yōu)勢(shì)。為了保證平臺(tái)能夠支撐海量的服務(wù)請(qǐng)求,本文提出了采用分布式的系統(tǒng)架構(gòu),使得系統(tǒng)能夠平滑地實(shí)現(xiàn)橫向擴(kuò)容,動(dòng)態(tài)適配服務(wù)資源。由于PHP自身語言性能存在瓶頸,因此采用核心算法C擴(kuò)展化和HHVM化來保證系統(tǒng)的性能不受桎梏。 同時(shí),本文提出了新型的異構(gòu)感知節(jié)點(diǎn)部署算法,能夠很大程度上提高網(wǎng)絡(luò)節(jié)點(diǎn)的部署效率。通過無縫融合RSSI、 GPS、 INS慣導(dǎo)系統(tǒng),提出了高速道路下的多模融合差分融合定位算法。通過浮動(dòng)車采集路網(wǎng)的OD矩陣參數(shù),對(duì)傳統(tǒng)的Dijkstra算法進(jìn)行優(yōu)化,提出了一種高效的動(dòng)態(tài)誘導(dǎo)算法。最后,針對(duì)上述理論分析和研究,在開放的私有云主機(jī)上實(shí)現(xiàn)算法并部署了交通誘導(dǎo)服務(wù)平臺(tái)的演示系統(tǒng),并對(duì)一些關(guān)鍵功能進(jìn)行了測(cè)試和分析,符合預(yù)期。
[Abstract]:With the rapid expansion of the city, the traffic resources in the city can not catch up with the expansion of the city. The shortage of traffic resources leads to a series of social problems: traffic congestion, frequent traffic accidents, long travel time and so on. With the rapid development of Internet of things, vehicle-road coordination and Internet big data, intelligent traffic guidance system (its), which integrates leading technologies in various fields, has emerged as the times require. However, the current traffic guidance service platform has the following problems: can not carry a large number of users, development and experimental period is very long, big data's processing capacity can not meet the requirements. Therefore, after investigating the research frontier in various fields, this paper puts forward a set of targeted solutions to the above problems. PHP is the language with the highest development efficiency nowadays, so it is advantageous to develop induction service platform through PHP. In order to ensure that the platform can support a large number of service requests, this paper proposes a distributed system architecture, which enables the system to smoothly achieve horizontal expansion, dynamic adaptation of service resources. Because of the bottleneck of PHP's own language performance, the core algorithms C extension and HHVM are adopted to ensure that the system performance is not shackled. At the same time, this paper proposes a new heterogeneous aware node deployment algorithm, which can greatly improve the deployment efficiency of network nodes. Through seamless fusion of RSSI, GPS, INS inertial navigation system, a multi-mode fusion differential fusion localization algorithm for high-speed road is proposed. By collecting the OD matrix parameters of the road network by floating vehicle, the traditional Dijkstra algorithm is optimized, and an efficient dynamic induction algorithm is proposed. Finally, in view of the above theoretical analysis and research, the algorithm is implemented on the open private cloud host and the demonstration system of the traffic guidance service platform is deployed, and some key functions are tested and analyzed to meet the expectations.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U495

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