本文關(guān)鍵詞：基于物聯(lián)網(wǎng)的城市軌道交通客流特征分析系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)　出處：《北京交通大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 城市軌道交通 物聯(lián)網(wǎng) AFC系統(tǒng) 客流特征分析 客流預(yù)測(cè) 遺傳程序設(shè)計(jì) J2EE技術(shù)

【摘要】：隨著城市現(xiàn)代化建設(shè)的快速發(fā)展,城市軌道交通正逐步全面進(jìn)入網(wǎng)絡(luò)化運(yùn)營(yíng)時(shí)代。在大幅提升交通運(yùn)力和出行便利的同時(shí),也給運(yùn)營(yíng)調(diào)度帶來了新的問題和挑戰(zhàn)。在網(wǎng)絡(luò)化運(yùn)營(yíng)及“無縫換乘”的條件下,乘客出行路徑更加呈現(xiàn)多樣性,客流在時(shí)間和空間分布的不均衡性也愈加凸顯。一方面,這會(huì)形成周期性的客流擁堵現(xiàn)象,增加了運(yùn)營(yíng)安全風(fēng)險(xiǎn)；另一方面,也會(huì)造成無法充分利用軌道交通運(yùn)輸能力,降低了網(wǎng)絡(luò)運(yùn)營(yíng)效率。因此從運(yùn)營(yíng)數(shù)據(jù)角度深入分析城市軌道交通客流特征,有助于運(yùn)營(yíng)部門準(zhǔn)確把握網(wǎng)絡(luò)客流規(guī)律和運(yùn)營(yíng)工作部署,也為全路網(wǎng)客流預(yù)測(cè)等研究提供了參考。 針對(duì)上述問題,本文以北京地鐵AFC系統(tǒng)采集的交易數(shù)據(jù)和北京地鐵TCC系統(tǒng)提供的歷史客流統(tǒng)計(jì)表為基礎(chǔ),結(jié)合北京軌道列車運(yùn)行圖,設(shè)計(jì)并實(shí)現(xiàn)了一套基于物聯(lián)網(wǎng)的城市軌道交通客流特征分析系統(tǒng)。論文首先總結(jié)了物聯(lián)網(wǎng)和客流特征分析的國(guó)內(nèi)外研究現(xiàn)狀,說明論文研究工作重點(diǎn)。然后介紹了城市軌道交通客流預(yù)測(cè)方法、物聯(lián)網(wǎng)技術(shù)和遺傳程序設(shè)計(jì),為系統(tǒng)設(shè)計(jì)與實(shí)現(xiàn)做好理論鋪墊。其次分別從邏輯架構(gòu)、功能架構(gòu)和物理架構(gòu)三方面進(jìn)行系統(tǒng)總體設(shè)計(jì),并就數(shù)據(jù)采集、數(shù)據(jù)準(zhǔn)備、客流統(tǒng)計(jì)、客流分析、客流展示和客流實(shí)時(shí)預(yù)測(cè)這幾個(gè)關(guān)鍵點(diǎn)展開詳細(xì)設(shè)計(jì),其中著重論述了引入遺傳程序設(shè)計(jì)方法進(jìn)行預(yù)測(cè)的研究過程。最后采用以J2EE為技術(shù)平臺(tái)的B/S開發(fā)模式完成系統(tǒng)的主要軟件模塊的實(shí)現(xiàn)和測(cè)試,并對(duì)論文工作進(jìn)行了總結(jié)和展望。
[Abstract]:With the rapid development of urban modernization, urban rail transit is gradually entering the era of network operation. It also brings new problems and challenges to operation scheduling. Under the condition of network operation and "seamless transfer", passenger travel paths are more diversified. The imbalance of passenger flow in time and space is becoming more and more prominent. On the one hand, it will form periodic congestion phenomenon and increase the risk of operation safety. On the other hand, it can not make full use of the capacity of rail transit and reduce the efficiency of network operation. Therefore, the characteristics of urban rail transit passenger flow are deeply analyzed from the point of view of operation data. It is helpful for the operation department to grasp the rules of network passenger flow and the operational arrangement, and also provides a reference for the research of the whole network passenger flow prediction. In view of the above problems, this paper based on the transaction data collected by the Beijing Metro AFC system and the historical passenger flow statistical table provided by the Beijing Metro TCC system, combined with the Beijing Rail Train Operation Diagram. Design and implement a set of urban rail transit passenger flow characteristics analysis system based on the Internet of things. Firstly, this paper summarizes the domestic and foreign research status of the Internet of things and passenger flow characteristics analysis. Explain the focus of the paper. Then introduced the urban rail transit passenger flow prediction method, the Internet of things technology and genetic programming, for the system design and implementation of the theoretical groundwork. Secondly, from the logical framework. Function architecture and physical architecture of the system overall design, and data acquisition, data preparation, passenger flow statistics, passenger flow analysis, passenger flow display and real-time passenger flow prediction of these key points to launch a detailed design. This paper mainly discusses the research process of introducing genetic programming method to predict. Finally, the main software modules of the system are implemented and tested by using the B / S development mode based on J2EE as the technology platform. The work of this paper is summarized and prospected.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP391.44;TN929.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 陳菁菁;;基于復(fù)雜網(wǎng)絡(luò)的城市軌道交通網(wǎng)絡(luò)可靠性研究[J];都市快軌交通;2010年02期

2 黃孝彬;毛培霖;唐浩源;董曉鵬;;物聯(lián)網(wǎng)關(guān)鍵技術(shù)及其發(fā)展[J];電子科技;2011年12期

3 王四春,張?zhí)┥?殷志云,楊子華;遺傳程序設(shè)計(jì)理論及應(yīng)用研究進(jìn)展[J];湖南工程學(xué)院學(xué)報(bào)(自然科學(xué)版);2004年04期

4 潘穎芳;;城市軌道交通AFC系統(tǒng)體系結(jié)構(gòu)分析與研究[J];信息技術(shù);2012年02期

5 劉大有,盧奕南,王飛,梁艷春;遺傳程序設(shè)計(jì)方法綜述[J];計(jì)算機(jī)研究與發(fā)展;2001年02期

6 馬歡,關(guān)富英,韓戰(zhàn)鋼;遺傳程序設(shè)計(jì)(GP)的適應(yīng)性函數(shù)設(shè)計(jì)[J];計(jì)算機(jī)工程與應(yīng)用;2004年30期

7 曹陽,王治,楊艷;基于遺傳程序設(shè)計(jì)的IP業(yè)務(wù)流量長(zhǎng)期預(yù)測(cè)[J];計(jì)算機(jī)學(xué)報(bào);2003年12期

8 陳全;鄧倩妮;;云計(jì)算及其關(guān)鍵技術(shù)[J];計(jì)算機(jī)應(yīng)用;2009年09期

9 金金寶;吳萍;;遺傳編程在符號(hào)回歸中的應(yīng)用[J];計(jì)算機(jī)與數(shù)字工程;2009年05期

10 余有明,劉玉樹;進(jìn)化計(jì)算的理論與算法[J];計(jì)算機(jī)應(yīng)用研究;2005年09期

，

本文編號(hào)：1389776