本文選題：眾包地圖 + 用戶產(chǎn)生內(nèi)容　； 參考：《北京郵電大學(xué)》2015年碩士論文

【摘要】：在交通日益發(fā)達(dá)的現(xiàn)代社會,人們的生活越來越離不開地圖導(dǎo)航軟件。綜觀當(dāng)前電子地圖的導(dǎo)航情況,大多是只提供單純的基于地理位置的路線規(guī)劃,并沒有很好地考慮到路線臨時變化等突發(fā)狀況,有時并不能很好地滿足人們的需求。本課題結(jié)合用戶產(chǎn)生內(nèi)容(User Generated Content)、眾包地圖和移動群智感知(Mobile Crowd Sensing)等技術(shù),提出了一種智能交通誘導(dǎo)方案,并建立了相應(yīng)的數(shù)據(jù)模型。本課題提出的智能交通誘導(dǎo)方案和數(shù)據(jù)模型不僅包含了傳統(tǒng)地圖導(dǎo)航的位置信息,還融合了用戶產(chǎn)生的交通數(shù)據(jù),從而為用戶提供實(shí)時性和準(zhǔn)確性較高的交通信息,滿足人們對動態(tài)交通信息的需求。 首先,本課題采用智能加權(quán)融合的方法對用戶產(chǎn)生的交通數(shù)據(jù)進(jìn)行融合,并建立了智能交通誘導(dǎo)數(shù)據(jù)融合模型。通過多源數(shù)據(jù)融合的方法從雜亂無章的數(shù)據(jù)中去偽存真,得到實(shí)時性和準(zhǔn)確性較高的動態(tài)交通信息。其次,本課題還借鑒博弈論的觀點(diǎn)建立了一種收益機(jī)制,通過對行為結(jié)果的獎勵或懲罰來對用戶進(jìn)行約束,使其創(chuàng)造出更加真實(shí)有效的內(nèi)容。 最后,為了驗(yàn)證本課題提出的智能交通誘導(dǎo)方案和數(shù)據(jù)模型,本文設(shè)計(jì)實(shí)現(xiàn)了智能交通誘導(dǎo)方案的驗(yàn)證系統(tǒng),并通過Matlab對本課題的數(shù)據(jù)融合模型進(jìn)行仿真,從而驗(yàn)證了本文提出的智能交通誘導(dǎo)方案和數(shù)據(jù)模型的有效性。本課題的相關(guān)研究將進(jìn)一步促進(jìn)移動互聯(lián)網(wǎng)和智能交通領(lǐng)域的深度融合,代表了一種適應(yīng)社會發(fā)展的智慧出行位置服務(wù)模式,以期推動城市交通向智能化、高效化發(fā)展,進(jìn)而方便公眾出行并提升城市公共交通服務(wù)效率。
[Abstract]:In the modern society with increasingly developed traffic, people's lives are more and more inseparable from map navigation software. Looking at the navigation situation of the current electronic map, most of them only provide the route planning based on the geographical location, and do not take into account the unexpected situation such as the temporary change of the route, and sometimes it can not meet the needs of the people very well. Based on the technologies of user generated content, crowdsourcing map and mobile Crowd sensing, an intelligent traffic guidance scheme is proposed, and the corresponding data model is established. The intelligent traffic guidance scheme and data model proposed in this paper not only contain the location information of traditional map navigation, but also fuse the traffic data generated by users, thus providing users with real-time and accurate traffic information. Meet people's demand for dynamic traffic information. Firstly, the intelligent weighted fusion method is used to fuse the traffic data generated by users, and an intelligent traffic guidance data fusion model is established. Through the method of multi-source data fusion, we can distinguish the false things from the random data, keep the real things, and get the real-time and accurate dynamic traffic information. Secondly, this subject also uses the view of game theory to establish a kind of profit mechanism, through the reward or punishment to the behavior result to carry on the restriction to the user, make it create more real and effective content. Finally, in order to verify the intelligent traffic guidance scheme and data model, this paper designs and implements the intelligent traffic guidance scheme verification system, and simulates the data fusion model by Matlab. The validity of the intelligent traffic guidance scheme and the data model proposed in this paper is verified. The related research of this topic will further promote the deep integration of mobile Internet and intelligent transportation, and represent a smart travel location service model adapted to the development of society, in order to promote the intelligent and efficient development of urban traffic. Furthermore, it is convenient for the public to travel and improve the efficiency of urban public transport service.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U495

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 張慧;信譽(yù)機(jī)制在欺詐行為中的運(yùn)行分析——來自一次博弈與重復(fù)博弈的解釋[J];財(cái)經(jīng)研究;2003年05期

2 楊飛,裘煒毅;基于手機(jī)定位的實(shí)時交通數(shù)據(jù)采集技術(shù)[J];城市交通;2005年04期

3 費(fèi)文;;多傳感器自適應(yīng)加權(quán)數(shù)據(jù)融合在測量排氣溫度的應(yīng)用[J];國外電子測量技術(shù);2007年12期

4 曹永軍;李麗麗;呂振林;張?jiān)葡?;多源交通信息采集、處理與發(fā)布系統(tǒng)研究[J];自動化與信息工程;2011年01期

5 張程;劉慧君;陳自郁;朱慶生;;基于信用的重復(fù)博弈模型在節(jié)點(diǎn)轉(zhuǎn)發(fā)中的應(yīng)用[J];解放軍理工大學(xué)學(xué)報(bào)(自然科學(xué)版);2012年02期

6 宋久擎;黃亞樓;康葉偉;林立;;智能交通系統(tǒng)中的數(shù)據(jù)處理與分析[J];計(jì)算機(jī)工程與應(yīng)用;2006年08期

7 喬秀全;楊春;李曉峰;陳俊亮;;社交網(wǎng)絡(luò)服務(wù)中一種基于用戶上下文的信任度計(jì)算方法[J];計(jì)算機(jī)學(xué)報(bào);2011年12期

8 唐龍業(yè),張萍,周宗平;用戶信任度的評估方法研究[J];計(jì)算機(jī)應(yīng)用研究;2004年03期

9 孟凡榮;莊朋;閆秋艷;;基于加權(quán)移動平均的數(shù)據(jù)流預(yù)測模型[J];計(jì)算機(jī)應(yīng)用研究;2009年10期

10 汪海淵,朱彥東,楊東援;數(shù)據(jù)融合技術(shù)及其在交通領(lǐng)域中的應(yīng)用[J];交通與計(jì)算機(jī);2001年S1期

，

本文編號：2089028