Urban traffic health indicator system evaluation method based on complex network theory

Abstract

The invention provides an urban traffic health indicator system evaluation method based on the complex network theory. The method mainly comprises the following steps: A: establishing a reliability indicator R of an urban traffic network; B: establishing a brittleness indicator B of the urban traffic network; C: establishing an elasticity indicator S of the urban traffic network; based on obtainedactual urban traffic operation data, importing seepage analysis to calculate the size of a functional sub-group of the urban traffic network under a given threshold, and establishing the reliabilityindicator R of the urban traffic network; mining a key road in the urban traffic network, analyzing a road set collapsing the functional sub-group of the urban traffic network to a certain proportion,and establishing the brittleness indicator B of the urban traffic network; and finally, establishing the elasticity indicator S of the urban traffic network through a whole process of generation-evolution-dissipation. The establishment of the urban traffic health indicator system can provide a support for the assessment of the actual operation state of the urban traffic, the development of targeted traffic management measures, and the improvement of the urban traffic health.

Description

technical field [0001] The present invention proposes an evaluation method of urban traffic health index system based on complex network theory, which relates to an evaluation method of urban traffic health index system based on complex network theory and big data technology, and belongs to complex network science and urban traffic big data technology field. Background technique [0002] Urban transportation generally refers to public travel and passenger and freight transportation between the urban and suburban road systems of the city. With the help of complex network methods and ideas, urban traffic is generally abstracted into a network consisting of multiple interconnected nodes (road intersections) and the edges (roads) between them. On the basis of the statically connected road network, all roads and local areas in the traffic network are organically connected through the dynamic traffic flow network running continuously on the urban traffic network. It is precisely...

AI Technical Summary

Problems solved by technology

It is precisely because of the connection of the static structure and the organic connection of the dynamic structure that the traffic congestion in a local area may affect the normal operation of the surrounding area or even the overall traffic network, resulting in urban traffic congestion of various scales.

At the same time, severely insufficient traffic capacity, ever-increasing travel demand, and frequent external operational disturbances caused by extreme weather and environmental influences all bring pressure and challenges to the normal operation of urban transportation networks all the time.

For city managers, the massive waste of resources and huge economic losses caused by urban traffic congestion have hindered the further development of the city.

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