本文關(guān)鍵詞： 移動(dòng)終端 交通信息服務(wù) 位置服務(wù) 智能導(dǎo)航　出處：《吉林大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：現(xiàn)今時(shí)代，社會(huì)經(jīng)濟(jì)飛速發(fā)展，城鎮(zhèn)化的進(jìn)程也隨之而快速推進(jìn)，伴隨而來(lái)的是汽車保有量的井噴式發(fā)展。汽車驟增帶來(lái)了城市道路的擁堵和交通事故的發(fā)生愈加嚴(yán)重，居民出行難的問(wèn)題已經(jīng)成為了社會(huì)共性問(wèn)題，亟待解決。公眾對(duì)交通信息的渴望，促進(jìn)了現(xiàn)代交通信息服務(wù)技術(shù)的全面迅速發(fā)展。根據(jù)不同的用戶需求，如何提供準(zhǔn)確而高效的交通信息服務(wù)成為了大眾關(guān)注的熱點(diǎn)。 日前，政府以及企業(yè)主導(dǎo)研究出現(xiàn)的交通信息服務(wù)平臺(tái)顯著增加。這些平臺(tái)的建設(shè)急切的需要系統(tǒng)化的理論進(jìn)行指導(dǎo)和應(yīng)用性較高的關(guān)鍵技術(shù)提供支持。結(jié)合近些年智能手機(jī)等移動(dòng)終端設(shè)備飛速發(fā)展的情況，廣大出行用戶試圖通過(guò)移動(dòng)終端獲取相關(guān)交通信息服務(wù)的需求日益強(qiáng)烈。本文以科研項(xiàng)目為依托，針對(duì)移動(dòng)終端下的交通信息服務(wù)技術(shù)進(jìn)行了深刻而廣泛的研究。同時(shí)，本文設(shè)計(jì)出了基于移動(dòng)終端的交通信息服務(wù)系統(tǒng)�，F(xiàn)對(duì)本文的主要工作介紹如下： 首先，針對(duì)高速公路這一道路群體，設(shè)計(jì)得出了基于移動(dòng)終端的高速公路交通信息服務(wù)系統(tǒng)。針對(duì)該系統(tǒng)的需求進(jìn)行了可靠的分析，同時(shí)設(shè)計(jì)得到四個(gè)功能：位置服務(wù)，智能導(dǎo)航，出行管家和動(dòng)態(tài)預(yù)警。每一個(gè)功能的具體實(shí)現(xiàn)，本文也給出了相關(guān)的實(shí)現(xiàn)流程，從而為類似的研究提供了參考。 然后，本文針對(duì)交通位置信息獲取的技術(shù)進(jìn)行了廣泛研究，主要從基于移動(dòng)終端的無(wú)線定位技術(shù)以及地圖匹配這兩個(gè)方面進(jìn)行了研究。先對(duì)輔助GPS定位技術(shù)的原理，流程和算法進(jìn)行了簡(jiǎn)單介紹，然后介紹了RSSI定位技術(shù)，最后提出了基于以上兩種定位方式的組合定位，并給出了具體定位流程。基于上述定位技術(shù)的基礎(chǔ)上，本文設(shè)計(jì)了地圖匹配的算法，并對(duì)相應(yīng)的匹配參數(shù)和權(quán)值進(jìn)行了確定和驗(yàn)證工作。 最后，本文對(duì)以移動(dòng)終端為基礎(chǔ)的實(shí)時(shí)導(dǎo)航技術(shù)做了分析，得出結(jié)論：良好實(shí)時(shí)誘導(dǎo)的關(guān)鍵是求解以得到最優(yōu)路徑。進(jìn)而，簡(jiǎn)單闡述了蟻群算法基本模型的思想和理論方法，并利用改進(jìn)的蟻群算法求解了最優(yōu)路徑，同時(shí)進(jìn)行了驗(yàn)證。
[Abstract]:Nowadays, with the rapid development of social economy, the process of urbanization is also advancing rapidly, accompanied by the blowout development of vehicle ownership. The sudden increase of cars has brought more and more serious traffic accidents and congestion on urban roads. The problem of residents' travel difficulty has become a common problem, which needs to be solved urgently. The desire of the public for traffic information has promoted the rapid development of modern traffic information service technology. How to provide accurate and efficient traffic information service has become the focus of public concern. A few days ago, There has been a significant increase in the number of transportation information service platforms emerging from government and business-led research. The construction of these platforms urgently requires systematic theoretical guidance and support from key technologies with high application. The rapid development of mobile terminal devices such as mobile phones, The demand of the vast number of travel users to obtain related traffic information services through mobile terminals is increasingly strong. Based on scientific research projects, this paper makes a profound and extensive research on the technology of traffic information services under mobile terminals. This paper designs a traffic information service system based on mobile terminal. The main work of this paper is as follows:. First of all, a highway traffic information service system based on mobile terminal is designed for the freeway group. The demand of the system is analyzed reliably, and four functions are designed: location service. Intelligent navigation, travel housekeeper and dynamic early warning. The specific implementation of each function, this paper also gives the relevant implementation flow, thus providing a reference for similar research. Then, this paper has carried on the extensive research to the traffic location information acquisition technology, mainly has carried on the research from the mobile terminal wireless localization technology and the map matching these two aspects. First, the principle of the auxiliary GPS localization technology, The flow and algorithm are briefly introduced, and then the RSSI localization technology is introduced. Finally, the combined positioning based on the above two methods is proposed, and the specific positioning flow is given. In this paper, the algorithm of map matching is designed, and the corresponding matching parameters and weights are determined and verified. Finally, this paper analyzes the real-time navigation technology based on mobile terminal, and concludes that the key to good real-time guidance is to get the optimal path. The improved ant colony algorithm is used to solve the optimal path.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U495;TN929.5

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