Research On Optimization Of Urban Logistics Path Based On Complex Network

Urban traffic network as an important component of transport system is an integral part of the People's Daily activities, and also is the main support conditions to keep the city life normally and orderly. But now, with the popularity of means of transport, urban traffic is faced with serious competition. In some cities, the traffic problem has seriously affected the efficiency of the city, and also has brought inconvenience and damage to people's work and life. Especially for the gradually rising logistics problems, the urban traffic network has become an important factor of restricting its development.The model of urban traffic network in this study is built according to the features of city bus network. Bus network has a strong representative in depicting transmission dynamics and evolution path of a city, which is used by many researchers as a carrier to study the cause of the traffic activities. Generally, the city's bus network system consists of bus stops and the connection lines, and the connections of the traffic routes form a typical complex network model. At present, the city's transport network unobstructed degree is affected by the real-time traffic flow and the node. How to apply path selection to the urban logistics path optimization problem on the basic of the analysis of traffic network is frontiers of research. In addition, the theoretical research of complex networks is applied to traffic path problem, and also is the innovation of theory with practice.This study mainly uses the theory knowledge of complex network on the visual graphic drawing of Guiyang bus network, the complex characteristics analyzing of the traffic network, and the application of path optimization. First of all, a model of this network which is abstracted according to the nodes and the edges is build. Second, this study does some research about the traffic jam problem according to the complexity analysis and the traffic flow data from Guiyang traffic management bureau. Finally,combining the path choice under the influence of different time, this paper do some research about the heuristic path algorithms, and then apply them to those hot issues such as logistics. In addition this paper also verify the algorithm by analyzing the model oflogistics distribution. Under the pressure of landscape and the advocate of intelligent cities,this research can be expected to provide the guidance. Meanwhile in this research, how to make the path choice under the thinking of traffic condition can also provide a direction to the problems such as the traffic guidance, flow control and the path choice of driving. In the end, this paper analyze the traffic condition in different times according to the data from Guiyang traffic management bureau.