發(fā)布時(shí)間：2019-06-03 19:24

【摘要】：摘要：作為對(duì)一定時(shí)間范圍內(nèi)交通需求描述的OD矩陣,是現(xiàn)代化城市交通研究中必不可少的部分。隨著信息化進(jìn)程的加快,利用手機(jī)定位信息獲取交通信息已經(jīng)成為可能。但目前對(duì)手機(jī)定位信息的研究還多局限于理論建模階段,并且出行識(shí)別技術(shù)尚未成熟�；诖�,本文將基于手機(jī)定位信息以及輔助的出行調(diào)查信息,開(kāi)展基于典型區(qū)域的動(dòng)態(tài)OD獲取方法研究。 首先,本研究針對(duì)現(xiàn)有的OD估計(jì)方法展開(kāi)綜述研究,并且對(duì)OD估計(jì)的數(shù)據(jù)采集方法進(jìn)行研究,分析和總結(jié)了現(xiàn)存方法的優(yōu)缺點(diǎn)。進(jìn)而總結(jié)了現(xiàn)階段手機(jī)定位技術(shù)的研究現(xiàn)狀。在此基礎(chǔ)上,確定了本文研究?jī)?nèi)容。 其次,針對(duì)手機(jī)定位信息和出行調(diào)查信息,分別進(jìn)行了對(duì)原始數(shù)據(jù)的分析,以及交通OD信息的提取。針對(duì)手機(jī)定位信息,本研究在分析數(shù)據(jù)特性的基礎(chǔ)上,設(shè)計(jì)了基于手機(jī)定位信息的出行鏈獲取方法,通過(guò)速度閾值、時(shí)間閾值以及距離閾值的限定,對(duì)OD點(diǎn)進(jìn)行識(shí)別。 然后,本研究重點(diǎn)分析了手機(jī)定位信息的觸發(fā)機(jī)制,并依據(jù)該機(jī)制,將手機(jī)定位信息劃分為主動(dòng)方式和被動(dòng)方式。在此基礎(chǔ)上,本研究對(duì)兩種方式的時(shí)間分布特征進(jìn)行了分析,得到了不同方式下的24小時(shí)時(shí)變特征,從而總結(jié)了兩種不同觸發(fā)機(jī)制下數(shù)據(jù)的優(yōu)缺點(diǎn)。進(jìn)而,針對(duì)主動(dòng)方式和被動(dòng)方式分別設(shè)計(jì)了基于出行調(diào)查數(shù)據(jù)的OD矩陣修正方法。對(duì)于主動(dòng)方式觸發(fā)的OD數(shù)據(jù),首先根據(jù)OD總量時(shí)變規(guī)律進(jìn)行修正,進(jìn)而對(duì)單個(gè)OD對(duì)進(jìn)行分別的調(diào)整。對(duì)于被動(dòng)方式觸發(fā)的OD數(shù)據(jù),根據(jù)其自身的數(shù)據(jù)特性,本研究依據(jù)出行調(diào)查的OD矩陣數(shù)據(jù),利用手機(jī)OD的時(shí)變規(guī)律曲線,設(shè)計(jì)了修正方法。 最后,本研究以典型區(qū)域?yàn)槔M(jìn)行了動(dòng)態(tài)OD獲取方法的驗(yàn)證。對(duì)區(qū)域界定后的典型區(qū)進(jìn)行原始OD數(shù)據(jù)的獲取,并按照修正方法,進(jìn)行基于出行調(diào)查數(shù)據(jù)的OD矩陣修正。對(duì)全方式觸發(fā)的OD矩陣數(shù)據(jù)以及被動(dòng)方式觸發(fā)的OD矩陣數(shù)據(jù)分別進(jìn)行不同維度的驗(yàn)證。從出行總量維度分析,修正之后的誤差從原先的30.08%降低到7.11%。從小區(qū)間產(chǎn)生吸引關(guān)系來(lái)看,一維相關(guān)系數(shù)都有明顯提升。從矩陣相關(guān)性分析,雖然也有提升,但提升幅度不明顯,這可能與數(shù)據(jù)來(lái)源的技術(shù)差異以及研究過(guò)程中的假設(shè)有關(guān)。
[Abstract]:Abstract: as the OD matrix of traffic demand description in a certain time range, it is an indispensable part of modern urban traffic research. With the acceleration of information process, it is possible to use mobile phone positioning information to obtain traffic information. However, at present, most of the research on mobile phone location information is limited to the theoretical modeling stage, and the travel identification technology is not yet mature. Based on this, this paper will carry out the research of dynamic OD acquisition method based on typical area based on mobile phone location information and auxiliary travel survey information. First of all, this study summarizes the existing OD estimation methods, and studies the data acquisition methods of OD estimation, and analyzes and summarizes the advantages and disadvantages of the existing methods. Then the research status of mobile phone positioning technology is summarized. On this basis, the research content of this paper is determined. Secondly, according to the mobile phone positioning information and travel survey information, the original data are analyzed and the traffic OD information is extracted. Aiming at the mobile phone positioning information, based on the analysis of the data characteristics, this study designs a mobile phone positioning information based on the departure chain acquisition method, through the speed threshold, time threshold and distance threshold limit, the ODpoint is identified. Then, this study focuses on the trigger mechanism of mobile phone positioning information, and according to this mechanism, the mobile phone positioning information is divided into active mode and passive mode. On this basis, the time distribution characteristics of the two methods are analyzed, and the 24-hour time-varying characteristics under different modes are obtained, and the advantages and disadvantages of the data under two different trigger mechanisms are summarized. Furthermore, the OD matrix correction method based on travel survey data is designed for active mode and passive mode respectively. For the OD data triggered by active mode, the total amount of OD is modified according to the time-varying law, and then the single OD pair is adjusted separately. For the passively triggered OD data, according to its own data characteristics, based on the OD matrix data of travel survey, using the time-varying law curve of mobile phone OD, a correction method is designed. Finally, the dynamic OD acquisition method is verified by taking the typical region as an example. The original OD data are obtained from the typical area after the region is defined, and the OD matrix based on travel survey data is modified according to the correction method. The OD matrix data triggered by the whole mode and the OD matrix data triggered by the passive mode are verified in different dimensions. From the dimension of the total amount of travel, the corrected error is reduced from 30.08% to 7.11%. From the point of view of attraction relationship in small interval, the one-dimensional correlation coefficient has been obviously improved. From the matrix correlation analysis, although there is also improvement, but the extent of improvement is not obvious, which may be related to the technical differences of data sources and the assumptions in the research process.
【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)】：U491.11;U495

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