Smart traffic safety management system

Abstract

The invention discloses a smart traffic safety management system. The smart traffic safety management system comprises a human condition detection unit, a road condition detection unit, a weather detection unit, a central processing unit, a monitoring alarm unit and a wireless communication module; the human condition detection unit is used for detecting the alcohol concentration and fatigue intensity of a driver in real time, the road condition detection unit is used for detecting obstacles on a traffic road surface, the road surface humidity and the road surface flatness in real time, and the weather detection unit is used for detecting the visibility, wind speed/wind direction and rainfall on the traffic road in real time. In the system, multiple module detection units are used for performing traffic safety detection, and thus the traffic safety is greatly improved; the traffic safety management system performs integrated processing on traffic safety status early warning index system of various traffic management units of a regional road network and determines the early warning level to generate intelligent early warning countermeasures, so that the pertinence, real-time performance and effectiveness of active traffic accident prevention measures of the highway traffic control department are improved.

Description

technical field [0001] The invention relates to the technical field of traffic management, in particular to an intelligent traffic safety management system. Background technique [0002] With the application of Internet of Things technology in traffic management, the increasingly mature intelligent traffic management technology has made outstanding contributions to improving the level of traffic management and improving traffic congestion. Among them, timely and accurate data collection and real-time processing and analysis of on-site data have become important prerequisites and foundations for intelligent transportation technology. Traditional data collection methods mainly include coils, video, and infrared rays. Most of them have shortcomings such as single data, difficulty in individual identification, and inability to provide data preprocessing. Especially after incidents involving maintenance management and system security occur, it is still impossible to respond to t...

AI Technical Summary

Problems solved by technology

Traditional data acquisition methods mainly include coils, video, infrared rays, etc. Most of them have shortcomings such as single data, difficulty in individual identification, and inability to provide data preprocessing.

Especially after an incident

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