Urban traffic network reliability prediction method based on seepage analysis

Abstract

The invention provides an urban traffic network reliability prediction method based on seepage analysis. The method comprises the following steps that step one: the dynamic network of traffic flow ofhistorical periods is constructed; step two: the seepage threshold of an urban traffic dynamic network is calculated; step three: the anomaly value of the seepage threshold mean of each period is calculated and acts as the basis of distinguishing the level of the urban traffic network reliability of the historical periods; and step four, the evolution law of the congestion subgroups in the high-reliability urban traffic operation state and the low-reliability traffic operation state of the historical periods is compared and the real-time urban traffic network reliability is accordingly predicted. With application of the steps, the evolution characteristics and the evolution mechanism of the traffic network reliability of the historical periods are effectively analyzed, and the high-reliability operation state and the low-reliability operation state of the evolution direction of the real-time urban traffic network reliability can be accordingly predicted so as to provide guidance or early warning for the urban traffic manager; and the method has critical support effect for solving the urban traffic congestion and building the smart city.

Description

technical field [0001] The invention proposes a method for predicting the reliability of an urban traffic network based on seepage analysis, which belongs to the technical field of traffic reliability. Background technique [0002] With the continuous development of the economic level, the field of planning and construction of infrastructure has gradually prospered. The level of a country's infrastructure construction not only reflects its own level of comprehensive strength, but also an important material guarantee for its national economy and people's livelihood. Therefore, how to improve the management and service level of infrastructure is a crucial issue. From the perspective of the engineering field, it is how to improve the reliability of infrastructure to meet certain usage requirements. Among them, key infrastructure such as communications, electricity, energy, transportation, water supply and other fields are the most important infrastructure systems related to t...

AI Technical Summary

Problems solved by technology

The urban transportation system is an open and complex giant system. Under the influence of external factors and the interaction of internal elements, its characteristics are changing nonlinearly and uncertainly all the time. Real-time evaluation and prediction of reliability under different conditions, because these methods are difficult to distinguish the correlation between urban traffic congestion sections, and it is also difficult to explain the internal mechanism of urban traffic congestion formation scale

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