本文選題：GPS軌跡　切入點(diǎn)：數(shù)據(jù)挖掘　出處：《長安大學(xué)》2015年碩士論文

【摘要】：目前,城市中的出租車司機(jī)由于盲目的四處尋找乘客而造成了出租車資源的嚴(yán)重浪費(fèi),增加了燃油的消耗,即加重了環(huán)境污染,又降低了出租車司機(jī)的收入。而同時(shí)又有大量的乘客因?yàn)橐教帉ふ页鲎廛嚩o自己的出行造成了不便。這種情況的發(fā)生主要是因?yàn)槌鲎廛囁緳C(jī)和乘客的行為是盲目的,缺乏統(tǒng)一的指導(dǎo),從而給出租車司機(jī)和乘客均帶來了很大的困擾。如今因?yàn)楸O(jiān)管和安全應(yīng)用的需求,城市中的出租車都安裝了GPS定位裝置,而由此產(chǎn)生了大量的出租車GPS軌跡數(shù)據(jù)信息,通過對出租車GPS軌跡數(shù)據(jù)的分析,研究其應(yīng)用成為一個(gè)熱點(diǎn)。在此背景下,本文通過對西安市出租車歷史軌跡數(shù)據(jù)挖掘和分析,建立了以提高打車響應(yīng)概率和最優(yōu)路徑推薦為目的的打車推薦系統(tǒng),設(shè)計(jì)并開發(fā)了網(wǎng)頁客戶端交互軟件,并進(jìn)行了軟件功能及性能方面的測試。論文具體完成的工作如下:(1)本文設(shè)計(jì)了一種基于網(wǎng)格的乘客行為聚類算法,通過對分時(shí)段固定區(qū)域內(nèi)乘客上下車情況分析,提取出了最容易搭載到乘客/乘客乘車的地點(diǎn)數(shù)據(jù),并以此作為依據(jù)向出租車司機(jī)/乘客推薦行駛路徑。(2)根據(jù)出租車GPS軌跡數(shù)據(jù),分析和提取出租車司機(jī)經(jīng)驗(yàn)路徑,建立了以出租車歷史GPS軌跡數(shù)據(jù)和當(dāng)前軌跡數(shù)據(jù)結(jié)合的打車地點(diǎn)以及當(dāng)前最優(yōu)路徑推薦算法。(3)使用Oracle數(shù)據(jù)庫和MATLAB軟件對出租車GPS軌跡數(shù)據(jù)進(jìn)行運(yùn)算和處理;以新浪云為后臺(tái),百度地圖API為接口,設(shè)計(jì)開發(fā)了客戶端軟件,方便用戶登錄網(wǎng)頁查看推薦的熱點(diǎn)和路徑。
[Abstract]:At present, taxi drivers in cities have caused a serious waste of taxi resources and fuel consumption because of blindly searching for passengers, which has aggravated the environmental pollution and reduced the income of taxi drivers.At the same time, there are a large number of passengers to find taxis everywhere, causing inconvenience to their travel.This happens mainly because the behavior of taxi drivers and passengers is blind and lack of unified guidance, which brings great troubles to both taxi drivers and passengers.Nowadays, because of the need of supervision and safety application, taxis in cities are equipped with GPS positioning devices, and a large amount of taxi GPS locus information is generated, through the analysis of taxi GPS locus data.Research on its application has become a hot spot.Under this background, by mining and analyzing the historical track data of taxi in Xi'an, this paper establishes a taxi recommendation system which aims to improve the response probability and the recommendation of the optimal path, and designs and develops the interactive software of the web client.The software function and performance are tested.The main work of this paper is as follows: (1) this paper designs a grid-based clustering algorithm for passenger behavior. By analyzing the situation of passengers getting on and off in a fixed area of time, we extract the most easily picked up data of passenger / passenger location.According to the GPS track data of the taxi, the empirical path of the taxi driver is analyzed and extracted.In this paper, we set up a taxicab location which combines the taxi history GPS track data with the current track data and the current optimal path recommendation algorithm. We use the Oracle database and MATLAB software to calculate and process the taxi GPS track data, and take the Sina cloud as the background.Baidu map API interface, the design and development of client software, easy for users to log in to the web page to view the recommended hot spots and paths.
【學(xué)位授予單位】：長安大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U495;TP391.3

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本文編號：1723924