Urban traffic flow network analysis method based on complex network theory

Abstract

The invention provides an urban traffic flow network analysis method based on a complex network theory, comprising the following steps: A: pre-processing urban traffic data and vehicle track data; B:dividing the city by region, extracting a starting point and a termination point D of the vehicle track, counting the traffic flow in the region so as to construct an urban traffic flow network; C: calculating the topological structure and flow characteristic parameters of the urban traffic flow network; D: performing a statistical distribution calculation for the structural characteristic and flow characteristic parameters in the urban traffic flow network and correlation analysis on the characteristics. The method of the present invention adopts the empirical traffic data to provide a perspective of traffic demand and traffic flow at the whole urban level from the perspective of a complex network, understands the characteristics of transportation demand in urban residents, and provides amethodological support for control of the future urban traffic operation status and planning management for operating the urban public transportation.

Description

technical field [0001] The invention proposes a method for analyzing urban traffic flow network based on complex network theory, which relates to a method for modeling and analyzing urban traffic flow based on complex network theory, and belongs to the interdisciplinary technical field of network science and traffic science. Background technique [0002] A city is a place where residents live, work, receive education, entertain and perform other daily activities. During the planning and development process, different spatial structures and functional areas are formed to meet the different living needs of urban residents. In order to meet various travel purposes, residents will have different travel behaviors at different times and in different places, resulting in a variety of urban traffic needs. The acceleration of urbanization and the improvement of residents' living standards have led to a sharp increase in the number of motor vehicles owned by residents in our country; ...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is: in view of the existing traffic demand and flow research, the coupling interaction and time continuity of demand and traffic flow are less considered, and the present invention provides a city based on complex network theory. The traffic flow network analysis method analyzes and mines the time-space coupling of traffic demand from the overall level of the city, understands the characteristics of urban residents' traffic travel demand, and provides method support for the planning and management of urban public transport operations

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