Vehicle driving condition risk analysis method and system based on Beidou positioning system

Abstract

The invention relates to a vehicle driving condition risk analysis method based on a Beidou positioning system. The vehicle driving condition risk analysis method comprises the steps of obtaining basic information and driving information of a vehicle; wherein the driving information comprises driving track information and / or running state information; uploading the basic information and the driving information of the vehicle to a server, so that the server analyzes the driving behavior of the vehicle and updates the risk score of the driving condition of the vehicle. Risk scores of vehicle driving conditions are obtained through accurate calculation, a user further grades according to the scores, a grading report is generated, and daily management is facilitated; a driver user can correct usual driving habits in time according to the score, attention is paid to the characteristic value with the very low score corresponding to the risk factor, and the risk factor is a reason causing accident risks frequently. At the moment, early warning and prompting can be sent for habitual driving behaviors of the driver, and the family members of the driver can timely and accurately know the latest driving condition of the driver.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and system for risk analysis of vehicle driving conditions based on the Beidou positioning system. Background technique [0002] There are 12 million heavy-duty trucks and 30 million heavy-duty truck drivers in China. Each driver is not only related to his own family, but also to the families of his parents and parents-in-law. The older masters are also related to their children's families. Therefore, these 30 million people are directly related to 100 million families and 300 million hearts. 80% of all major accidents in our country in recent years are related to road heavy transport vehicles, and 80% of all road heavy transport vehicle accidents are related to illegal driving behaviors such as speeding and fatigue driving. The No. 5 order of the Ministry of Transport, the Ministry of Public Security, and the State Administration of Work Safety clearly stipulates tha...

AI Technical Summary

Problems solved by technology

[0003] Now vehicle insurance is based on previous claims to determine the premium for the next year. There is no score for the driving behavior of the vehicle, and there is no regular real-time update of the vehicle’s driving behavior score, so there is no reference for the assessment of premiums. Accurate basis; most drivers are only limited to driving, and they often cannot judge which aspects of risk exist in their habitual driving behaviors. There is no early warning and evaluation scoring mechanism for drivers’ driving conditions, and drivers’ family members also Failure to know the driver's recent driving situation in a timely and accurate manner, once a traffic accident occurs, it is irreversible

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