A Realization Method of Urban Traffic Resilience Index Based on Spatiotemporal Congestion Subcluster

Abstract

The invention provides an urban traffic elastic index based on a spatial-temporal congestion sub-group and an implementation method thereof. The implementation method comprises the following steps of1, carrying out preprocessing on urban traffic data information; 2, establishing a traffic dynamic network on the basis of the urban traffic data information, and judging whether a road is in a congested stateor not on the basis of actual speed data on each road section in an urban traffic system by combining a road speed threshold; 3, calculating thespatial-temporal congestion sub-group, namely an elastic index of the traffic system; and 4, carrying out statistical analysis on the spatial-temporal congestion sub-group. By the steps above, according to the invention, operation efficiency of the traffic system is considered from the network level of urban traffic and the spatial-temporal evolution angle, and a problem aboutaccurate and comprehensive measurement on elasticity of a traffic network system can be solved so as to effectively carry out quantification and evaluation on the elasticity of the urban traffic network system; and according to the invention, regulation and control onan overall operation condition of the urban traffic in future are supported, and powerful method support can be provided for construction of the smooth traffic project and smart cities.

Description

technical field [0001] The invention proposes a realization method of urban traffic elasticity index based on spatiotemporal congestion subcluster, which relates to a realization method of urban traffic elasticity index based on spatiotemporal congestion subcluster, and belongs to the cross technical field of system elasticity and traffic science. Background technique [0002] With the continuous improvement of the level of urbanization, its impact on the ecological environment is also becoming more and more significant. Due to the excessive concentration of urban population and buildings, the contradiction between supply and demand of urban traffic has become more prominent in recent years, and the ensuing traffic congestion is becoming an inevitable problem. Traffic congestion will not only lead to the decline of various economic and social functions, but also lead to the continuous deterioration of the urban living environment, becoming an "urban chronic disease" that hin...

AI Technical Summary

Problems solved by technology

The larger the space-time congestion subcluster, the greater the disturbance in the functional network of the city, and the lower the traffic efficiency of the entire city

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