基于可變需求的交通小區(qū)備用能力模型及應(yīng)用
[Abstract]:The problem of urban road traffic congestion is essentially a problem of imbalance between traffic supply and demand. The key to solve the problem is to realize the coordination between traffic system and land use. The problem of road network design based on the concept of reserve capacity can be used to analyze the constraint relationship among road network system, traffic planning management and land use from the point of view of road network capacity. It can be used to guide the formulation of rational transportation planning and land use planning and management policy. This article has carried on the research from the following several aspects. First of all, from the point of view of system dynamics, this paper analyzes the constraint mechanism of road network reserve capacity on land use, and analyzes the deficiency of the concept of road network reserve capacity in revealing the difference of the impact of land development in different residential areas on traffic system. The definition of reserve capacity of traffic district is proposed, and the influence of variable demand on reserve capacity of traffic district is analyzed. Secondly, the standby capacity model of traffic district based on single constraint variable demand is established, in which the lower layer model describes the travel path and destination choice behavior of the travelers when the amount of trip production is fixed. The upper model can maximize the overall travel demand of the road network under the constraints of signal control and road saturation. Thirdly, the variables describing the increase of traffic capacity are discretized and integrated into the above traffic district reserve capacity model to study the impact of traffic planning and management strategy on the reserve capacity of traffic district. Then, considering the travel path and destination choice behavior of travelers when the amount of trip production and attraction are fixed, a model of standby capacity based on double constraints variable demand is established. Finally, the model is solved by combining genetic algorithm with convex combination algorithm or two-stage algorithm. The model proposed in this paper can determine the maximum amount of trip production or attraction and the corresponding optimal signal control strategy or road capacity enhancement scheme for each traffic district under certain road network conditions. It will help to make sustainable land use planning and traffic planning management policy.
【學(xué)位授予單位】:華中科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:U491
【相似文獻(xiàn)】
相關(guān)期刊論文 前10條
1 楊波;劉海洲;;基于聚類分析的交通小區(qū)劃分方法的改進(jìn)[J];交通與運(yùn)輸(學(xué)術(shù)版);2007年01期
2 郭嶠楓;;淺析交通小區(qū)劃分問題[J];黑龍江科技信息;2010年28期
3 譚曉雨;;土地利用與交通小區(qū)發(fā)生吸引量關(guān)系研究[J];物流技術(shù);2012年07期
4 譚曉雨;;基于交通小區(qū)的道路交通環(huán)境負(fù)荷發(fā)生源分析[J];物流技術(shù);2012年11期
5 馬超群;王瑞;王玉萍;嚴(yán)寶杰;陳寬民;;基于區(qū)內(nèi)出行比例的城市交通小區(qū)半徑計(jì)算方法[J];交通運(yùn)輸工程學(xué)報(bào);2007年01期
6 李曉丹;楊曉光;陳華杰;;城市道路網(wǎng)絡(luò)交通小區(qū)劃分方法研究[J];計(jì)算機(jī)工程與應(yīng)用;2009年05期
7 姜培;;基于出行者來源的交通發(fā)生與吸引量預(yù)測[J];科技廣場;2010年03期
8 杜慎旭;;基于新城區(qū)土地規(guī)劃的交通小區(qū)出行量預(yù)測[J];鐵道運(yùn)輸與經(jīng)濟(jì);2012年02期
9 李曉丹;儲浩;楊曉光;;城市道路網(wǎng)絡(luò)交通小區(qū)概念解析[J];武漢理工大學(xué)學(xué)報(bào)(交通科學(xué)與工程版);2009年05期
10 李雨夢;王晶妍;;聚類分析法確定城市出租車交接班最優(yōu)地點(diǎn)[J];科協(xié)論壇(下半月);2012年10期
相關(guān)會議論文 前1條
1 鐘章建;黃瑋;馬萬經(jīng);姚佼;;面向協(xié)調(diào)控制的交通小區(qū)劃分算法設(shè)計(jì)與實(shí)現(xiàn)[A];2008第四屆中國智能交通年會論文集[C];2008年
相關(guān)博士學(xué)位論文 前1條
1 王霖青;交通小區(qū)劃分問題的整數(shù)規(guī)劃建模與優(yōu)化算法研究[D];東北大學(xué);2014年
相關(guān)碩士學(xué)位論文 前7條
1 肖海亮;基于可變需求的交通小區(qū)備用能力模型及應(yīng)用[D];華中科技大學(xué);2015年
2 宋亮;交通小區(qū)的理論分析和劃分方法研究[D];長安大學(xué);2011年
3 于慧杰;交通小區(qū)在交通規(guī)劃中若干技術(shù)問題的研究[D];西安電子科技大學(xué);2008年
4 劉云芳;利用衛(wèi)星定位系統(tǒng)數(shù)據(jù)分析交通問題[D];華中師范大學(xué);2012年
5 陳芳;市區(qū)對外路網(wǎng)中通道的功能分析及系統(tǒng)配置[D];西南交通大學(xué);2005年
6 劉敏;基于城鄉(xiāng)一體化的交通需求分析研究[D];西南交通大學(xué);2008年
7 武明超;基于移動通信網(wǎng)絡(luò)數(shù)據(jù)的交通小區(qū)劃分與OD分析方法研究[D];北京交通大學(xué);2015年
,本文編號:2275447
本文鏈接:http://sikaile.net/kejilunwen/daoluqiaoliang/2275447.html