Road surface meteorological condition identification method and system based on vehicle driving audio

Abstract

The present invention relates to a road surface meteorological condition identification method and system based on vehicle driving audio, which is designed by using audio signals to depict the characteristics of a vehicle passing through different road surface conditions, where road surface meteorological conditions corresponding to various vehicle driving audio on various scene roads is analyzed and obtained based on various road surface meteorological conditions corresponding to the vehicle driving audio on various scene roads; a fusion network in combination with a CNN network and an LSTM network is trained; and a multi-scene road surface meteorological condition detection model is obtained, and then used in a practical application to implement the detection of road surface meteorological conditions on multi-scene roads, provide accurate road surface meteorological condition information for meteorological, traffic, traffic management and drivers, so that a road control measure is timely taken to reduce occurrence of accidents. The whole design system has the characteristics of low equipment costs and easy installation, which can greatly reduce the difficulty in road meteorological condition detection.

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