An intelligent identification method of urban road water accumulation based on traffic flow basic map

Abstract

The invention discloses an urban road ponding intelligent identification method based on a traffic flow basic graph, and belongs to the technical field of urban waterlogging prevention. The problems that in the prior art, misjudgment is likely to happen, the judgment period is too long, and the real-time performance is not high are solved. The method is characterized in that traffic big data and meteorological data are fused to realize real-time identification of ponding, and dependence on high-cost detection equipment is eliminated; directed at the characteristic that ponding affects road traffic capacity, a traffic flow basic graph tool is introduced, so that a congestion diffusion road section caused by ponding is prevented from being identified as a ponding road section so as to reducemisjudgment; the statistical period of each traffic flow parameter used for identifying ponding is 5 minutes, and compared with a statistical period of 30 minutes of the existing method, the influence of ponding can be more sensitively reflected, and the time for identifying ponding is shortened. The method is used for urban waterlogging prevention and ponding identification.

Description

technical field [0001] The invention relates to an intelligent identification method for water accumulation on urban roads, in particular to an intelligent identification method for water accumulation on urban roads based on a basic traffic flow diagram, and belongs to the technical field of urban waterlogging prevention. Background technique [0002] In recent years, extreme weather has occurred frequently, and the risk of water accumulation on urban roads has been increasing, which has aggravated road traffic congestion and seriously threatened road traffic safety. For example, in 2017, the typhoon "Miaobai" caused heavy rainfall, and many roads in Shenzhen were flooded. Many roads were interrupted due to the flooding, and a large number of vehicles were turned off and submerged in these "big puddles". Affected by waterlogging on the roads, the morning peak traffic index in the central urban area was as high as 6.2, an increase of 72% compared with ordinary working days. ...

AI Technical Summary

Problems solved by technology

[0010] In view of the above facts, the purpose of the present invention is to solve the problems in the prior art that are prone to misjudgment, the judgment period is too long, and the real-time performance is not strong, and then a kind of urban road water accumulation intelligence based on the basic map of traffic flow is designed. Identification method, which proposes a data-driven water accumulation point identification method based on the basic traffic flow map. This method integrates traffic big data and meteorological data to realize real-time identification of water accumulation, and gets rid of the dependence on high-cost detection equipment; Aiming at the characteristic that waterlogging affects road capacity, a basic traffic flow map tool is introduced to avoid identifying the congested road section caused by waterlogging as a waterlogging section to reduce misjudgment; various traffic flow parameters used to identify waterlogging The statistical period is 5 minutes, which can more sensitively reflect the impact of stagnant water compared with the 30-minute statistical period of the existing method, and shorten the time for the stagnant water to be identified

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