Highway meteorological environment forecasting and early warning control system and method based on Internet of Vehicles

Abstract

The invention provides a highway meteorological environment forecasting and early warning control system and method based on the Internet of Vehicles, and belongs to the technical field of intelligentvehicles. The method comprises the following steps: performing communication with a local roadside intelligent control base station through a network communication module, obtaining multi-source traffic data and meteorological data, and performing encoding processing on the multi-source traffic data and the meteorological data to obtain an Internet of Vehicles BSM data set; detecting highway vehicle risk event probability caused by a meteorological environment in the Internet of Vehicles BSM data set in real time on the basis of a discrimination algorithm of traffic meteorological informationand a road surface safety level, performing collision prediction on the Internet of Vehicles BSM data set on the basis of a rough set and an information entropy measurement method, and outputting risk prediction information; and performing risk avoiding warning or auxiliary operation processing according to the risk prediction information, and updating a database in real time. The system meets the functional requirements of real-time early warning, and can be widely applied to anti-collision early warning and safe driving auxiliary systems of various road meteorological environments.

Description

technical field [0001] The invention belongs to the technical field of intelligent vehicles, and in particular relates to a road meteorological environment forecast and early warning control system and method based on the Internet of Vehicles. Background technique [0002] In recent years, my country's expressway traffic safety construction has developed rapidly, but changes in weather conditions, especially extreme severe weather conditions have brought safety risks to vehicles driving on expressways. The monitoring of weather conditions related to traffic is an important basis for the scientific operation of expressways, such as rain, snow, fog and so on. [0003] As an important part of the transportation system, expressways provide fast, efficient and safe transportation services for public travel and cargo transportation. By the end of 2016, the total mileage of expressways in China had exceeded 130,000 kilometers, ranking first in the world. However, frequent traffic...

AI Technical Summary

Problems solved by technology

In the prior art, only mobile phone map app and radio broadcast can be used to remind road vehicles under severe weather conditions, and weather information and related early warning information cannot be obtained in time without turning on the radio station or using mobile phone navigation

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