Method and device for acquiring expressway agglomerate fog visibility

Abstract

The invention provides a method and device for acquiring expressway agglomerate fog visibility, and the method comprises the steps: obtaining meteorological observation data of a target region on an expressway; inputting the obtained meteorological observation data into an aerosol particle model obtained through machine learning in advance to obtain each aerosol particle attribute parameter valuecontained in the aerosol particles in the target area; based on the attribute parameter values of the aerosol particles, obtaining a total extinction coefficient of the aerosol particles; and calculating the agglomerate fog visibility of the target area based on the total extinction coefficient of the aerosol particles and the relative humidity of the target area. The potential safety hazard of expressway traffic can be reduced.

Description

technical field [0001] The invention relates to the technical field of road traffic visibility recognition, in particular to a method and a device for obtaining the visibility of expressway cloud fog. Background technique [0002] In a local range of tens of meters to several kilometers along the expressway, affected by the microclimate environment, the ground radiation cools down, making the air close to the ground colder, and the saturation specific humidity decreases, resulting in the condensation of water vapor and the formation of clusters of fog and clusters. The visibility outside the fog is relatively good, and the visibility inside the fog is extremely low. After the vehicle enters the fog generated on the expressway, the visibility drops sharply, which is extremely harmful to the road traffic safety of the expressway and easily leads to major traffic accidents. However, due to the strong regionality, small coverage, long accumulation time, easy drift, and strong su...

AI Technical Summary

Problems solved by technology

[0002] In a local area ranging from tens of meters to thousands of meters along the expressway, affected by the microclimate environment, the ground radiation cools down, making the air close to the ground colder, and the saturation specific humidity decreases, resulting in the condensation of water vapor and the formation of clusters of fog and clusters. The visibility outside the fog is relatively good, and the visibility inside the fog is extremely low. After the vehicle enters the fog generated on the expressway, the visibility drops sharply, which is extremely harmful to the road traffic safety of the expressway and easily leads to major traffic accidents.

However, due to the strong regionality, small coverage, long accumulation time, easy drift, and strong suddenness of expressway fog, it is difficult to predict expressway fog. At present, there is no effective method to deal with it. Effective prediction of cloud fog visibility on expressways to reduce road traffic safety hazards on expressways

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