【摘要】：在我國城市化和城鎮(zhèn)化發(fā)展過程中,交通擁堵已經(jīng)成為普遍現(xiàn)象,顯著影響城市功能的正常發(fā)揮,通過建設(shè)智能交通體系挖掘現(xiàn)有交通基礎(chǔ)設(shè)施的運(yùn)營潛力已經(jīng)成為緩解交通擁堵的重要手段；智能交通體系中,交通數(shù)據(jù)采集與提取是首要環(huán)節(jié),是系統(tǒng)可靠性的重要保障。既有交通數(shù)據(jù)采集提取技術(shù)包括傳統(tǒng)的環(huán)形線圈及新興的GPS定位、視頻識(shí)別、雷達(dá)探測(cè)等技術(shù),但這些技術(shù)在不同程度上都存在一定的局限性。相比較而言,基于移動(dòng)運(yùn)營商的已有通信網(wǎng)絡(luò)的手機(jī)定位技術(shù)可以彌補(bǔ)既有采集技術(shù)的局限性,具備投資成本較低、手機(jī)用戶滲透率高、覆蓋范圍廣等優(yōu)勢(shì),已經(jīng)成為當(dāng)前智能交通領(lǐng)域的研究熱點(diǎn),近年來國內(nèi)外許多研究機(jī)構(gòu)和企業(yè)都積極開展相關(guān)理論研究與項(xiàng)目實(shí)踐。但是,在實(shí)際中由于受到移動(dòng)運(yùn)營商的商業(yè)利益、網(wǎng)絡(luò)安全及手機(jī)用戶隱私等敏感問題的影響,難以從網(wǎng)絡(luò)運(yùn)營商方面獲取大量真實(shí)的手機(jī)通信網(wǎng)絡(luò)數(shù)據(jù)開展技術(shù)研究工作,對(duì)一些技術(shù)問題的剖析、認(rèn)識(shí)還不夠清晰,手機(jī)數(shù)據(jù)獲取的困難成為制約該項(xiàng)技術(shù)研發(fā)和應(yīng)用的主要障礙之一。因此,為了克服手機(jī)數(shù)據(jù)獲取造成的障礙,近年來,學(xué)術(shù)研究領(lǐng)域開始轉(zhuǎn)向以仿真為重要手段開展研究,運(yùn)用仿真手段的優(yōu)勢(shì),能夠在控制某些重要系統(tǒng)參數(shù)的環(huán)境下分析其對(duì)技術(shù)造成的影響,有助于全面深入探索手機(jī)定位技術(shù)的應(yīng)用效果。總體上來看,過去的手機(jī)定位仿真研究大都缺乏與移動(dòng)通信特征因素相結(jié)合,采用的假設(shè)通常較大程度地偏離手機(jī)通信實(shí)際特征,這使得通過仿真獲取的手機(jī)數(shù)據(jù)與真實(shí)情況存在較大差距,失真數(shù)據(jù)不能夠切實(shí)揭示技術(shù)的真實(shí)應(yīng)用效果�；跓o線通信仿真的城市主干路行程車速采樣效果研究主要是基于交通流仿真與手機(jī)無線通信仿真集成的思路,運(yùn)用Vissim軟件作為微觀交通仿真實(shí)現(xiàn)工具,獲取在不同交通狀態(tài)下的車載手機(jī)移動(dòng)位置軌跡,運(yùn)用Matlab軟件作為手機(jī)無線通信仿真實(shí)現(xiàn)工具,將車載手機(jī)移動(dòng)位置軌跡作為集成銜接導(dǎo)入通信仿真模塊,并按照真實(shí)的切換流程、通信協(xié)議和切換控制準(zhǔn)則進(jìn)行仿真建模,從而真實(shí)地仿真生成通信網(wǎng)絡(luò)中記錄的切換樣本數(shù)據(jù),并據(jù)此通過手機(jī)切換路網(wǎng)標(biāo)定匹配算法獲取道路行程采樣車速。同時(shí),本研究通過調(diào)整仿真參數(shù),如通話時(shí)長(zhǎng)、樣本采樣率、交通狀態(tài)、信號(hào)延誤等,重點(diǎn)研究了城市主干路上出行者不同的通話行為對(duì)手機(jī)切換速度計(jì)算、路段樣本量提取以及路段行程車速發(fā)布準(zhǔn)確率造成的影響。本研究能夠?yàn)轵?yàn)證手機(jī)切換定位技術(shù)用于城市主要道路行程車速采集的可行性和應(yīng)用效果提供重要支持。
[Abstract]:In the process of urbanization and urbanization in China, traffic congestion has become a common phenomenon, significantly affecting the normal play of urban functions. Mining the operational potential of existing traffic infrastructure through the construction of intelligent transportation system has become an important means to alleviate traffic congestion. In intelligent transportation system, traffic data acquisition and extraction is the most important link and the important guarantee of system reliability. The existing traffic data acquisition and extraction technologies include the traditional loop coil and the emerging GPS positioning, video recognition, radar detection and other technologies, but these technologies have some limitations in varying degrees. By comparison, the mobile phone positioning technology based on the existing communication network of mobile operators can make up for the limitations of the existing acquisition technology, with the advantages of low investment cost, high penetration of mobile phone users, wide coverage, and so on. In recent years, many domestic and foreign research institutions and enterprises have actively carried out related theoretical research and project practice. However, due to the influence of the commercial interests of mobile operators, network security and mobile phone user privacy and other sensitive issues, it is difficult to obtain a large number of real mobile phone communication network data from network operators to carry out technical research work. The analysis of some technical problems is not clear enough, and the difficulty of obtaining mobile phone data becomes one of the main obstacles to the development and application of this technology. Therefore, in order to overcome the obstacles caused by mobile phone data acquisition, in recent years, the academic research field began to take simulation as an important means to carry out research and use the advantage of simulation. It can be used to analyze the influence of some important system parameters on the technology, which is helpful to explore the application effect of mobile phone positioning technology. Generally speaking, most of the previous mobile phone positioning simulation studies lack of combination with mobile communication feature factors, and the assumptions usually deviate from the actual characteristics of mobile communication to a large extent. As a result, there is a big gap between the mobile phone data obtained by simulation and the real situation, and the distorted data can not reveal the true application effect of the technology. The research of speed sampling effect of urban trunk road based on wireless communication simulation is mainly based on the integration of traffic flow simulation and mobile phone wireless communication simulation. Vissim software is used as the micro traffic simulation tool. The mobile location locus of the mobile phone in different traffic conditions is obtained, and the mobile phone mobile location trajectory is integrated into the communication simulation module by using Matlab software as the mobile communication simulation tool. According to the real switching flow, communication protocol and switching control criterion, simulation modeling is carried out, so that the switching sample data recorded in the communication network can be generated by real simulation. On the basis of this, the road travel sampling speed is obtained by the calibration matching algorithm of mobile phone switching road network. At the same time, by adjusting the simulation parameters, such as call time, sample sampling rate, traffic status, signal delay and so on, this study focuses on the calculation of mobile phone switching speed by different call behavior of the traveler on the urban trunk road. The influence of sample size extraction and the accuracy rate of road travel speed release. This study can provide important support for verifying the feasibility and application effect of mobile phone switching and positioning technology used in the collection of travel speed on major urban roads.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U495

【參考文獻(xiàn)】

相關(guān)會(huì)議論文 前1條

1 關(guān)志超;胡斌;張昕;裘煒毅;;基于手機(jī)數(shù)據(jù)的城市交通信息采集技術(shù)研究[A];第七屆中國智能交通年會(huì)論文集[C];2012年

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本文編號(hào)：2417589