Road icing prediction method and system

Abstract

The invention discloses a road icing prediction method and system. The road icing prediction method comprises the steps of determining a relation between a meteorological factor and road icing through adopting a correlation analysis method, establishing a road icing influence index equation through combining with the influence of a road vehicle running speed verification factor on the road icing, calculating a national road icing influence index value based on the road icing influence index equation and the value of each parameter in the determined road icing influence index equation, further determining a prediction level of the national road icing influence index value corresponding to the national road icing influence index value, and according to the prediction level of the national road icing influence index, predicting a national road icing influence degree in combination with the predicted meteorological factor information and the actual road condition. According to the road icing prediction method, meteorological factors, road factors and real-time vehicle factor data are comprehensively considered, road icing is predicted based on multi-dimensional data, the accuracy and confidence of the road icing prediction method are greatly improved, and sensors do not need to be arranged on the road surface.

Description

technical field [0001] The invention relates to the technical field of weather forecasting, and more specifically, to a road icing prediction method and system. Background technique [0002] Road icing, in terms of meteorology, refers to the phenomenon of snow accumulation or icing caused by rain, snow, freezing rain or fog droplets falling on the ground with a temperature below 0°C. The situation of ≤0℃ is defined as road icing occurs. It usually includes frozen residual snow, convex and concave ice ruts, snow melt water or other causes of water accumulation on the road, and a hard ice layer formed in the cold season. In the case of icy roads, because the friction coefficient between the vehicle tires and the road surface is greatly reduced, the vehicle body is prone to skidding, which leads to road traffic safety accidents. [0003] At present, a prediction method for road icing is: predicting road icing based on the C4.5 decision tree algorithm. Specifically, the meteo...

AI Technical Summary

Problems solved by technology

Although this road icing prediction method can accurately predict the icing temperature of the road surface, with high accuracy and real-time performance, this technical solution requires a large number of sensors to be arranged near the road surface according to known frequencies. Road icing prediction is not applicable, it is only applicable to road icing prediction in some designated areas, and factors such as sensor layout density, sensor hardware and software costs affect the large-scale deployment and application of this solution

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