本文選題：公共交通網(wǎng)絡(luò) + 復(fù)雜網(wǎng)絡(luò)　； 參考：《南京郵電大學(xué)》2017年碩士論文

【摘要】：城市公共交通網(wǎng)絡(luò)作為城市交通運(yùn)輸系統(tǒng)的核心組成部分,在居民的日常生活中扮演著重要的角色。伴隨著城市的發(fā)展和人口的不斷增加,城市居民不斷增長(zhǎng)的出行需求與擁堵的公共交通之間的矛盾日益突出。為了提升公共交通的服務(wù)質(zhì)量,針對(duì)基于公交和地鐵為主的城市公共交通網(wǎng)絡(luò)的研究受到了廣泛的關(guān)注。本文以復(fù)雜網(wǎng)絡(luò)理論為基礎(chǔ),在深入分析了城市公共交通網(wǎng)絡(luò)的拓?fù)浣Y(jié)構(gòu)和功能特性之后,構(gòu)建了一種公交地鐵加權(quán)復(fù)合網(wǎng)絡(luò)模型,并對(duì)此模型進(jìn)行了進(jìn)一步的分析研究。本文的主要工作和成果如下:1.在公交地鐵雙層網(wǎng)絡(luò)的基礎(chǔ)上,通過(guò)添加地鐵站點(diǎn)與其周圍一定范圍d內(nèi)的公交站點(diǎn)間的連邊,提出了一種公交地鐵復(fù)合網(wǎng)絡(luò)模型。考慮公交地鐵載客量、行駛速度、路段運(yùn)營(yíng)線路數(shù)、路段距離和擁堵等因素的影響,定義了連邊容量、時(shí)間和容量效率三種權(quán)值,對(duì)復(fù)合網(wǎng)絡(luò)進(jìn)行加權(quán)處理。研究表明,模型參數(shù)d的增大,使復(fù)合網(wǎng)絡(luò)中節(jié)點(diǎn)和線路間的連接更加緊密。同時(shí),共享單車行業(yè)的興起使公交地鐵連邊的出行更加便捷高效,提高了各種出行方式的銜接配合效率,這將引導(dǎo)人們更多地在公交和地鐵間換乘,滿足人們的出行需求。2.由于常規(guī)和出行高峰時(shí)段網(wǎng)絡(luò)存在很大的差異,本文定義了時(shí)變條件下網(wǎng)絡(luò)連邊容量、時(shí)間和容量效率權(quán)值。高峰時(shí)段為了增大運(yùn)力,各線路的發(fā)車時(shí)間間隔會(huì)縮短,同時(shí),隨著道路上車流的增多,道路發(fā)生擁堵的風(fēng)險(xiǎn)增大。研究表明,出行高峰時(shí)段,連邊容量會(huì)有顯著的增大,但容量效率變化較小。增加公交站點(diǎn)和地鐵站點(diǎn)周圍共享單車的投放量,可以有效的提升整個(gè)網(wǎng)絡(luò)的出行效率。3.本文通過(guò)局部評(píng)價(jià)指標(biāo)和全局評(píng)指標(biāo)對(duì)網(wǎng)絡(luò)進(jìn)行節(jié)點(diǎn)重要性分析。同時(shí),根據(jù)本文定義的連邊容量、時(shí)間和容量效率權(quán)值對(duì)網(wǎng)絡(luò)進(jìn)行連邊重要性分析。研究表明:節(jié)點(diǎn)攻擊策略下,基于容量效率的點(diǎn)權(quán)攻擊方式對(duì)網(wǎng)絡(luò)最大連通子圖率和全局效率的影響較大;連邊攻擊策略下,基于時(shí)間成本和容量效率權(quán)值的攻擊方式分別對(duì)網(wǎng)絡(luò)全局效率和網(wǎng)絡(luò)最大連通子圖率的影響比較大。
[Abstract]:As the core part of urban transportation system, urban public transport network plays an important role in the daily life of residents.With the development of the city and the increase of population, the contradiction between the increasing travel demand of urban residents and the congested public transport is becoming increasingly prominent.In order to improve the service quality of public transport, the research on urban public transport network based on public transport and subway has been paid more and more attention.Based on the theory of complex network, after analyzing the topological structure and functional characteristics of urban public transportation network, this paper constructs a weighted composite network model of public transit subway, and makes further analysis and research on this model.The main work and results of this paper are as follows: 1.On the basis of the double-layer network of public transportation and subway, a model of the compound network of public transportation subway is proposed by adding the connecting edge between the subway station and the bus station within a certain range of the stations around it.Considering the influence of the factors such as the carrying capacity, the driving speed, the number of operating lines, the distance and the congestion of the subway, the paper defines three kinds of weight values, such as the connected capacity, the time and the capacity efficiency, and carries on the weighted processing to the compound network.It is shown that the increase of model parameter d makes the connection between nodes and lines closer in the composite network.At the same time, the rise of bicycle sharing industry makes the transit subway trip more convenient and efficient, and improves the efficiency of various trip modes, which will lead people to transfer more between public transport and subway, to meet the travel needs of people.Due to the great differences between conventional and travel peak time networks, this paper defines the capacity, time and capacity efficiency weights of the network under time-varying conditions.In order to increase the capacity in rush hour, the departure time interval of each line will be shortened, at the same time, with the increase of traffic flow on the road, the risk of road congestion will increase.The results show that during the travel peak period, the connected capacity increases significantly, but the capacity efficiency changes little.Increasing the amount of bicycles shared around bus stations and subway stations can effectively improve the travel efficiency of the whole network.This paper analyzes the node importance of the network by local evaluation index and global evaluation index.At the same time, according to the capacity, time and capacity efficiency weights defined in this paper, the importance of continuous edge is analyzed.The results show that the point-weight attack based on capacity efficiency has a great influence on the maximum connected subgraph rate and global efficiency under the node attack strategy, while in the continuous edge attack strategy, the maximum connected subgraph rate and global efficiency of the network are greatly affected.The attack methods based on the weight of time cost and capacity efficiency have great influence on the global efficiency of the network and the maximum connected subgraph rate of the network respectively.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：O157.5;U12

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 羅藝;錢大琳;;公交—地鐵復(fù)合網(wǎng)絡(luò)構(gòu)建及網(wǎng)絡(luò)特性分析[J];交通運(yùn)輸系統(tǒng)工程與信息;2015年05期

2 王春華;;我國(guó)城市交通擁堵原因分析[J];人民公交;2015年04期

3 陳雷進(jìn);;城市公交樞紐分類、用地及布局規(guī)劃研究[J];現(xiàn)代交通技術(shù);2014年05期

4 丁益民;丁卓;楊昌平;;基于社團(tuán)結(jié)構(gòu)的城市地鐵網(wǎng)絡(luò)模型研究[J];物理學(xué)報(bào);2013年09期

5 汪濤;吳琳麗;;基于復(fù)雜網(wǎng)絡(luò)的城市公交網(wǎng)絡(luò)抗毀性分析[J];計(jì)算機(jī)應(yīng)用研究;2010年11期

6 李進(jìn);馬軍海;;城市地鐵網(wǎng)絡(luò)復(fù)雜性研究[J];西安電子科技大學(xué)學(xué)報(bào)(社會(huì)科學(xué)版);2009年02期

7 惠偉;王紅;;復(fù)雜網(wǎng)絡(luò)在城市公交網(wǎng)絡(luò)中的實(shí)證分析[J];計(jì)算機(jī)技術(shù)與發(fā)展;2008年11期

8 顧前;楊旭華;王萬(wàn)良;王波;;基于復(fù)雜網(wǎng)絡(luò)的城市公共交通網(wǎng)絡(luò)研究[J];計(jì)算機(jī)工程;2008年20期

9 常鳴;馬壽峰;;我國(guó)大城市公交網(wǎng)絡(luò)結(jié)構(gòu)的實(shí)證研究[J];系統(tǒng)工程學(xué)報(bào);2007年04期

10 張譯;靳雪翔;張毅;姚丹亞;;基于二分圖的城市公交網(wǎng)絡(luò)拓?fù)湫再|(zhì)研究[J];系統(tǒng)工程理論與實(shí)踐;2007年07期

相關(guān)博士學(xué)位論文 前1條

1 李妍峰;時(shí)變網(wǎng)絡(luò)環(huán)境下車輛調(diào)度問(wèn)題研究[D];西南交通大學(xué);2008年

相關(guān)碩士學(xué)位論文 前9條

1 周曉炯;南京市區(qū)公交地鐵加權(quán)復(fù)合網(wǎng)絡(luò)模型及魯棒性分析[D];南京郵電大學(xué);2016年

2 張娣娟;基于復(fù)雜網(wǎng)絡(luò)的城市公共交通協(xié)同性及Hub節(jié)點(diǎn)研究[D];蘭州交通大學(xué);2015年

3 董有郁;基于雙層網(wǎng)絡(luò)模型的公交網(wǎng)絡(luò)通行能力和級(jí)聯(lián)故障研究[D];浙江工業(yè)大學(xué);2014年

4 任卓明;復(fù)雜網(wǎng)絡(luò)中的節(jié)點(diǎn)重要性度量研究[D];上海理工大學(xué);2013年

5 張?zhí)烀?公共交通樞紐選址方法研究[D];長(zhǎng)安大學(xué);2012年

6 司曉靜;復(fù)雜網(wǎng)絡(luò)中節(jié)點(diǎn)重要性排序的研究[D];西安電子科技大學(xué);2012年

7 楊揚(yáng);北京市公共交通網(wǎng)絡(luò)復(fù)雜性分析[D];北京交通大學(xué);2011年

8 金雷;基于復(fù)雜網(wǎng)絡(luò)的地域公路交通網(wǎng)抗毀性分析[D];國(guó)防科學(xué)技術(shù)大學(xué);2008年

9 王云琴;基于復(fù)雜網(wǎng)絡(luò)理論的城市軌道交通網(wǎng)絡(luò)連通可靠性研究[D];北京交通大學(xué);2008年

，

本文編號(hào)：1750696