基于自組織臨界性的城市路網(wǎng)承載力研究
本文選題:道路網(wǎng)絡(luò) 切入點:沙堆模型 出處:《北京交通大學(xué)》2014年碩士論文
【摘要】:隨著國民經(jīng)濟的快速發(fā)展,機動車保有量的持續(xù)增長,交通擁堵問題日臻嚴重。在道路網(wǎng)絡(luò)的交通量達到一定程度會涌現(xiàn)出自組織臨界性(sO0,此時,微小的擾動可能會導(dǎo)致局部或大面積的擁堵事故,會直接或間接造成嚴重的經(jīng)濟、社會影響。防止道路網(wǎng)絡(luò)車流量自組織臨界狀態(tài)的發(fā)生,或當系統(tǒng)達到自組織臨界狀態(tài)時,破壞系統(tǒng)的自組織臨界狀態(tài),可在一定程度上預(yù)防大面積擁堵事故的發(fā)生。本文利用沙堆模型對道路網(wǎng)絡(luò)車流量的SOC進行探討,并結(jié)合北京市實際道路網(wǎng)絡(luò),從SOC的角度對路網(wǎng)承載力進行定性和定量分析。 首先,根據(jù)2008年至2012年北京市路網(wǎng)中道路運行狀態(tài)的數(shù)據(jù)和分時段交通擁堵指數(shù),確定了道路網(wǎng)絡(luò)中車流量具有SOC。同時,基于道路網(wǎng)絡(luò)車流量的SOC,對城市路網(wǎng)承載力進行定義,并給出相應(yīng)數(shù)學(xué)表征。 其次,結(jié)合道路網(wǎng)絡(luò)屬性、駕駛員改變路徑的傾向以及SOC的適用條件,建立道路網(wǎng)絡(luò)沙堆模型,模擬道路網(wǎng)絡(luò)車流量的演化過程。通過元胞自動機(CA)模型抽象道路網(wǎng)絡(luò)拓撲結(jié)構(gòu),JAVA的軟件環(huán)境編寫路網(wǎng)沙堆模型演化過程。利用MATLAB處理后的路網(wǎng)沙堆模型結(jié)果建立路網(wǎng)承載力的定量模型。 最后,利用模型進行仿真,驗證了實際路網(wǎng)的SOC,并求得相應(yīng)路網(wǎng)的路網(wǎng)承載力。從理論研究角度上來說,通過改變模型控制條件,確定了增大車流量不會改變道路網(wǎng)絡(luò)車流量的SOC、路網(wǎng)臨界擁堵時序及路網(wǎng)承載力的值;而改變單條道路的交通控制因素,即給定最大負荷比,會破壞道路網(wǎng)絡(luò)的SOC,對防止大面積擁堵事故的發(fā)生有一定作用。
[Abstract]:With the rapid development of the national economy and the continuous growth of vehicle ownership, the traffic congestion problem becomes more and more serious. When the traffic volume of the road network reaches a certain level, it will emerge from the organizational criticality. Small disturbances may lead to local or large-scale congestion accidents, directly or indirectly cause serious economic and social impacts, prevent the occurrence of self-organized critical state of traffic flow in road networks, or when the system reaches self-organized critical state. The self-organized critical state of the damage system can prevent the occurrence of large-scale congestion accidents to some extent. In this paper, the SOC of the traffic flow of road network is discussed by using the sandpile model, and combined with the actual road network in Beijing, From the point of view of SOC, the bearing capacity of road network is analyzed qualitatively and quantitatively. First of all, according to the data of road running state in Beijing road network from 2008 to 2012 and the traffic congestion index in different periods, the traffic flow in the road network is determined to be SOC. at the same time, Based on the SOC of the traffic flow of the road network, the bearing capacity of the urban road network is defined and the corresponding mathematical representation is given. Secondly, according to the road network attribute, the driver's tendency to change the path and the suitable condition of SOC, the road network sandpile model is established. To simulate the evolution process of road network traffic. Abstract the evolution process of road network model by cellular automata (CA) model, abstract the road network topology structure and Java software environment, and build the road network sandpile model with the result of MATLAB processing. Quantitative model of bearing capacity of road network. Finally, the model is simulated to verify the SOC of the actual road network, and the bearing capacity of the corresponding road network is obtained. From the theoretical point of view, by changing the control conditions of the model, It is determined that increasing the traffic volume will not change the SOC of the traffic flow of the road network, the critical traffic timing of the road network and the value of the carrying capacity of the road network, while changing the traffic control factors of a single road, that is, the given maximum load ratio, is determined. SOC, which will destroy the road network, can prevent the occurrence of a large area of congestion accidents.
【學(xué)位授予單位】:北京交通大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:U491.13
【參考文獻】
相關(guān)期刊論文 前10條
1 周溪召,,楊佩昆,郁朝鳴;關(guān)于道路(網(wǎng))時空飽和度的定義及它在高峰時段的實用計算公式[J];重慶交通學(xué)院學(xué)報;1996年03期
2 楊濤;徐吉謙;;城市道路網(wǎng)廣義容量研究及其應(yīng)用[J];城市道橋與防洪;1989年01期
3 易俊;周孝信;肖逾男;;具有不同拓撲特征的中國區(qū)域電網(wǎng)連鎖故障分析[J];電力系統(tǒng)自動化;2007年10期
4 申金升,雷黎,徐一飛;城市交通可持續(xù)發(fā)展的動力學(xué)機制研究[J];系統(tǒng)工程;1997年05期
5 四兵鋒,高自友;城市交通超級網(wǎng)絡(luò)均衡配流模型及算法[J];公路交通科技;1998年S1期
6 李碩,黎莉;公路網(wǎng)狹義總?cè)萘坷碚摷澳P蚚J];湖南大學(xué)學(xué)報(自然科學(xué)版);1999年01期
7 衛(wèi)振林,申金升,徐一飛;交通環(huán)境容量與交通環(huán)境承載力的探討[J];經(jīng)濟地理;1997年01期
8 金小剛;基于Matlab的元胞自動機的仿真設(shè)計[J];計算機仿真;2002年04期
9 黃欣榮;;復(fù)雜網(wǎng)絡(luò):認知世界的科學(xué)新方法[J];江西財經(jīng)大學(xué)學(xué)報;2012年01期
10 周溪召,劉燦齊,楊佩昆;高峰時段城市道路網(wǎng)時空資源和交通空間容量[J];同濟大學(xué)學(xué)報(自然科學(xué)版);1996年04期
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