Urban traffic health index system and evaluation method

Abstract

The invention provides an urban traffic health index system and an evaluation method, and the method comprises the following steps of 1, determining a seepage critical point through the analysis of the change relation between an urban traffic congestion rate and a traffic macroscopic operation level, and determining an early warning index according to the seepage critical point; 2, determining urban traffic jam propagation indexes; 3, drawing a change curve of the urban traffic system macroscopic operation level, the urban congestion time-space subgraph size and the operation level of each road along with time, and determining the elastic indexes of the urban traffic system at different scales according to the change curve. Through the above steps, a set of complete urban traffic system health assessment index system is established, the proposed method can provide the theoretical and technical guidance for the comprehensive and comprehensive management and regulation of the urban traffic system, and also has the enlightenment and guidance effects on the alleviation of urban traffic congestion phenomena, construction of an intelligent traffic system and the like.

Description

technical field [0001] The invention proposes a health index system and evaluation method of urban traffic, which relates to the monitoring and evaluation method of urban traffic health in the whole life cycle of "occurrence-evolution-recovery" of traffic congestion, and belongs to the interdisciplinary technology of traffic reliability and network science field. Background technique [0002] With the continuous expansion of urban transportation infrastructure and the continuous increase of urban car ownership, the supply and demand relationship of urban road network transportation has become increasingly tense. Small and medium-scale traffic congestion often occurs in major cities, and even under the influence of some extreme weather It has evolved into a systemic traffic paralysis throughout the entire network. This makes the modern urban traffic system, especially in some peak hours of traffic flow, often face enormous operating pressure. Facing this challenge, experts ...

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Problems solved by technology

However, these indicators also have certain limitations: First, these indicators are mainly statistical in nature, reflecting the individual or overall traffic operation status, and it is difficult to reflect the spatio-temporal propagation of traffic congestion - the core failure mode; second, the calculation of indicators is very dependent on high precision , long-term traffic operation data information to obtain more accurate evaluation results, the results are severely restricted by statistical sampling; thirdly, these indicators focus on the analysis of some urban traffic operation phenomena at a given moment or a given period, and it is difficult to provide corresponding predictions Finally, these indicators have not formed a complete set of urban traffic health life cycle evaluation system from congestion "occurrence-evolution-recovery"

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