Driving behavior risk prediction method and system

A risk prediction and behavior technology, applied in the direction of prediction, registration/instruction of vehicle operation, resources, etc., can solve the problems of inability to early warning of accident risk, hysteresis of accident risk, inability to score, etc., so as to reduce the owner's property loss and improve risk prediction. Ability, the effect of protecting the life safety of the car owner
CN112508228AInactive Publication Date: 2021-03-16北京理工大学前沿技术研究院
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
北京理工大学前沿技术研究院
Publication Date
2021-03-16
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a driving behavior risk prediction method and system. The method comprises the following steps: acquiring historical travel data; performing data cleaning on the historical travel data; performing label definition on the cleaned travel data to obtain label parameters; determining a trained risk prediction model by adopting a Fibonacci algorithm according to the label parameters; acquiring current travel data; and determining current label parameters according to the current travel data, and performing risk prediction by using the trained risk prediction model. According to the invention, the risk can be judged dynamically and timely, and the real-time performance of risk evaluation and early warning is ensured.
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Description

technical field

[0001] The present invention relates to the field of driving behavior risk prediction, in particular to a driving behavior risk prediction method and system. Background technique

[0002] Since the Internet of Vehicles technology entered the social field of vision in 2010, the Internet of Vehicles has experienced a long process from germination to growth. The generalized Internet of Vehicles (Internet of Vehicles) is a huge interactive network composed of information such as vehicle location, speed and route. Through GPS, RFID, sensors, camera image processing and other devices, vehicles can complete the collection of their own environment and state information; through Internet technology, all vehicles can transmit and gather their own various information to the central processing unit; through computer technology, these Information from a large number of vehicles can be analyzed and processed to calculate optimal routes for different vehicles, report road ...

Claims

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