發(fā)布時(shí)間：2018-07-05 00:58

  本文選題：公共交通 + 公交客流��； 參考：《西南交通大學(xué)》2015年碩士論文

【摘要】：一座城鎮(zhèn)的公交客流特征可以反映該城鎮(zhèn)居民乘坐公交車出行的時(shí)間和空間分布狀況,能夠支撐城鎮(zhèn)居民對(duì)公交車需求方面的研究,為城鎮(zhèn)公共交通系統(tǒng)的實(shí)時(shí)調(diào)度與優(yōu)化提供依據(jù),是城鎮(zhèn)公共交通體系升級(jí)地一塊基石。與傳統(tǒng)客流量分析方法相比,基于智能公交系統(tǒng)提供的大量刷卡數(shù)據(jù)而進(jìn)行的公交客流特征分析更具精準(zhǔn)性、全面性和可行性。本論文以成都市市區(qū)主干公交線路為研究對(duì)象,基于成都市智能公交IC卡記錄的刷卡消費(fèi)數(shù)據(jù),首先利用公交車一次出行時(shí)乘客上車刷卡的時(shí)間序列提出一種估計(jì)乘客上車站點(diǎn)的可行方法；然后應(yīng)用和擴(kuò)展該方法用于估計(jì)成都市單條公交線路在一天中每位持卡消費(fèi)乘客的上車站點(diǎn)；最后估計(jì)成都市市區(qū)所有主干線路一天刷卡乘客的上車站點(diǎn),并分析主干線路所有公交站點(diǎn)處的上車客流量特征。本論文使用MATLAB 7.13編程軟件進(jìn)行數(shù)據(jù)分析處理以及算法實(shí)現(xiàn),并從以下三個(gè)方面進(jìn)行詳細(xì)的研究：第一,研究在缺少公交車輛GPS數(shù)據(jù)情況下如何利用公交IC卡刷卡數(shù)據(jù)估計(jì)乘客上車站點(diǎn)。通過收集成都市市區(qū)主干公交線路名稱、站點(diǎn)名稱以及站點(diǎn)經(jīng)緯度等基礎(chǔ)信息,抽取一條公交線路一個(gè)月的公交IC卡刷卡消費(fèi)數(shù)據(jù),不依賴于車輛GPS定位數(shù)據(jù),采用聚類方法分析上車時(shí)間序列從而建立估計(jì)乘客上車站點(diǎn)的理論模型,并跟車記錄該條線路上公交車的實(shí)際載客數(shù)據(jù)信息,以此驗(yàn)證所提理論方法的可行性。第二,研究公交客流量在單條公交線路上的分布特征。詳細(xì)闡述了單條公交線路上的客流在時(shí)間維度上的差異性和周期波動(dòng)性。第三,研究公交客流量在公交站點(diǎn)上的分布特征。具體分析了成都市市區(qū)主干公交線路上所有站點(diǎn)在不同時(shí)間段內(nèi)的上車客流量,以及在相同時(shí)間段內(nèi),上車客流量在各個(gè)站點(diǎn)的不同分布。
[Abstract]:The characteristics of public transport passenger flow in a town can reflect the time and space distribution of the residents travelling by bus, and can support the study on the demand for buses by urban residents. Providing the basis for the real-time scheduling and optimization of urban public transportation system is a cornerstone of the upgrading of urban public transportation system. Compared with the traditional passenger flow analysis method, the characteristic analysis of bus passenger flow based on a large amount of card swipe data provided by intelligent bus system is more accurate, comprehensive and feasible. This paper takes the main bus route in Chengdu as the research object, based on the IC card data of smart bus in Chengdu. Firstly, a feasible method of estimating passenger boarding station is presented by using the time series of commuters swiping their cards on board during a bus trip. Then the method is used to estimate the boarding station of each card consumer passenger on a single bus line in Chengdu in one day, and finally to estimate the boarding station of all trunk lines in Chengdu city in one day by swiping card passengers. And analysis of the trunk line at all bus stops on the passenger flow characteristics. This thesis uses the MATLAB 7.13 programming software to carry on the data analysis processing as well as the algorithm realization, and carries on the detailed research from the following three aspects: first, In the absence of GPS data of public transport vehicles, how to estimate passenger boarding stations using IC card data is studied. By collecting the basic information such as the name of the main bus line, the name of the station and the latitude and longitude of the station in Chengdu, the paper extracts the IC card consumption data of a public transport line for one month, and does not depend on the GPS positioning data of the vehicle. The theoretical model of estimating passenger boarding station is established by using clustering method to analyze boarding time series, and the actual carrying data information of bus on this line is recorded with the vehicle to verify the feasibility of the proposed theoretical method. Secondly, the distribution characteristics of bus passenger flow on a single bus line are studied. The difference and cycle fluctuation of passenger flow on single bus line in time dimension are expounded in detail. Thirdly, the distribution characteristics of bus passenger flow at bus stations are studied. This paper analyzes the passenger flow of all stations on the main bus line in Chengdu city in different time periods, and the different distribution of passenger flow in different stations in the same time period.
【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】：2015
【分類號(hào)】：U492.413

【參考文獻(xiàn)】

相關(guān)期刊論文 前3條

1 姜平;石琴;陳無畏;張衛(wèi)華;;基于Elman型回歸神經(jīng)網(wǎng)絡(luò)的公交客流預(yù)測(cè)[J];合肥工業(yè)大學(xué)學(xué)報(bào)(自然科學(xué)版);2008年03期

2 韓艷;關(guān)宏志;嚴(yán)海;張海嬋;;公交IC卡數(shù)據(jù)分析處理方法研究[J];交通標(biāo)準(zhǔn)化;2010年19期

3 郭士永;李文權(quán);白薇;張東;;基于最小二乘向量機(jī)的公交站點(diǎn)短時(shí)客流預(yù)測(cè)[J];武漢理工大學(xué)學(xué)報(bào)(交通科學(xué)與工程版);2013年03期

，

本文編號(hào)：2098217