Driver-vehicle coupling-safe driving behavior monitoring and early warning system and method

Abstract

The invention relates to a driver-vehicle coupling-safe driving behavior monitoring and early warning system and method and belongs to the vehicle active safe driving field. The system includes a vehicle-mounted monitoring and early warning sub-system, a vehicle-mounted satellite positioning monitoring subsystem, a wireless communication subsystem, a big data driving behavior analysis subsystem and a nearby vehicle communication subsystem. According to the method, the driving behaviors of a driver and the postures of a vehicle are monitored in real time; relevant data are collected and preprocessed; big data and cloud computing analysis means are adopted to perform driver's physiological characteristic and vehicle state coupled analysis; and a vehicle-mounted early warning module is started when an early warning requirement is satisfied, and different modes of risk early warning are carried out according to different risk levels. According to the driver-vehicle coupling-safe driving behavior monitoring and early warning system and method of the invention, coupled analysis is performed based on the behaviors of the driver and the postures of the vehicle, so that dangerous behaviors can be accurately analyzed out, and early warning can be performed, and therefore, the timeliness of abnormal driving behavior early warning can be improved; and early warning can be divided into in-vehicle early warning and Internet of Vehicles-based inter-vehicle early warning, and therefore, traffic accidents can be effectively prevented.

Description

technical field [0001] The invention relates to the field of automobile active safety, in particular to a safety driving behavior monitoring and early warning system and method based on human-vehicle coupling. Background technique [0002] The problem of vehicle traffic safety is a worldwide problem. According to statistics from various traffic and police departments around the world, the number of traffic accident deaths in the world in 2015 is about 500,000. The four elements that constitute road traffic accidents are people, vehicles, roads, and the environment. Among them, human factors account for the largest proportion (about 90%); relevant research results at home and abroad prove that if the driver can feel the danger 0.5 seconds in advance and take preventive measures in time, about 30% of frontal collision accidents, 50% of Accidents related to road conditions and 60% of rear-end collisions can be avoided; if the driver can sense danger 1 second in advance and take...

AI Technical Summary

Problems solved by technology

[0003] At present, safe driving of automobiles mainly judges dangerous situations by monitoring the behavior of the driver, or a few judging dangerous situations from the attitude of the vehicle. These unilateral hazard judgments are not accurate enough, and the current vehicle hazard warnings are all single-level individual vehicles. Internal early warning, can not remind the surrounding vehicles, when there is a danger, you can only respond and deal with it in time, but the surrounding vehicles do not know the upcoming danger, if you do not respond in time or handle it properly, it will cause great harm

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