High-altitude area road active driving safety early warning method and system

Abstract

The invention discloses a high-altitude area road active driving safety early warning method and system. The method comprises the steps that altitude data of the position where a current vehicle is located, physiological indexes of a driver of the current vehicle, running state indexes of the current vehicle and vehicle distance indexes between the current vehicle and adjacent vehicles are obtained in real time; according to the altitude data of the position where the current vehicle is located, the physiological index of the current vehicle driver and the running state index of the current vehicle, the current vehicle comprehensive driving risk transfer probability, the current vehicle driving fatigue risk value and the current vehicle real-time driving risk value are obtained through calculation; calculating is performed to obtain a current vehicle collision risk value according to the vehicle distance index between the current vehicle and the adjacent vehicle; and if the value of atleast one of the current vehicle comprehensive driving risk value transition probability, the current vehicle driving fatigue risk value, the current vehicle real-time driving risk value and the current vehicle collision risk value is greater than or equal to the respective corresponding danger threshold, early warning is sent to the current vehicle.

Description

technical field [0001] The invention belongs to the technical field of traffic safety, and in particular relates to a safety warning method and system for active driving on roads in high-altitude areas. Background technique [0002] Early warning methods for road traffic safety can be divided into pre-warning and post-warning. Post-event warning refers to broadcasting the location, situation and scale of the accident to the driver, so that the driver can take actions such as avoidance in time to avoid secondary accidents and unnecessary traffic jams, but such methods cannot avoid The occurrence of the first accident. Pre-warning refers to collecting and processing road traffic data, integrating other relevant information, and using emerging data analysis and pattern recognition technologies such as artificial intelligence to obtain information such as driver's bad status, accident risk probability ahead, and accident risk loss, so as to predict the driving situation in adva...

AI Technical Summary

Problems solved by technology

However, most early warning methods have shortcomings such as low accuracy, high early warning cost, and susceptibility to external environmental influences, and they do not consider the unique driving environment in high-altitude areas.

The unique driving risk in high-altitude areas is that the driver is prone to fatigue, reduced judgment ability, and slow operation caused by adverse reactions such as altitude sickness.

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