道路網(wǎng)銜接結(jié)構(gòu)對(duì)機(jī)動(dòng)車(chē)交通流量分布影響研究
[Abstract]:For urban ground integrated transportation system, road network is its most important and basic skeleton and support. The important basic condition of sustainable development of urban traffic is to have a reasonable structure and perfect function. A road network system with sufficient capacity and coordination with urban dominant traffic patterns. However, the urban traffic problem is becoming more and more serious in modern society, which not only affects the economic construction and social development of the city, but also brings many inconvenience to people's life and work. However, unreasonable layout planning of road network, unclear classification of road grade and insufficient understanding of the traffic law of road network are a part of the causes of traffic problems. In order to solve the traffic problems, a comprehensive and in-depth study of the road network must be carried out first. In view of the connecting structure of road network, it is necessary to determine the method and index to describe the structure of road network, and to analyze the influence of the structural characteristics of road network on the distribution of vehicle flow, so as to plan the urban road network in the future. Alleviate urban traffic congestion to provide theoretical basis and technical support. In this paper, the dual method is used to abstract the road network into a topological structure, and three important indexes for evaluating the link structure of the road network are determined: the centrality of points, the centrality of proximity, and the centrality of meso-numbers. Secondly, from the perspective of spatial cognition, this paper analyzes the influence of road network structure characteristics on path selection, thus affecting the distribution of vehicle traffic flow. Then the univariate linear regression between the three indexes of the road network connection structure and the traffic flow index is analyzed by the example data of five cities, and the maximum correlation between the meso-centrality and the total vehicle-km is obtained. At the same time, by analyzing the research scope of different road networks, the change of the median centrality of the route is obtained, and then the influence of different research ranges on the prediction of vehicle flow in the road network structure is analyzed. It is suggested that the study of the influence of road network structure on traffic flow distribution should be carried out within a larger road network as far as possible.
【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(lèi)號(hào)】:U491
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