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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

Inactive Publication Date: 2021-03-16
北京理工大学前沿技术研究院
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Existing scoring methods and technologies can only score the driving behavior after a single trip and judge the risk, but cannot dynamically score, and cannot timely provide risk warnings for possible accidents that may occur in this trip, and the judgment of accident risk lags behind sex

Method used

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  • Driving behavior risk prediction method and system
  • Driving behavior risk prediction method and system
  • Driving behavior risk prediction method and system

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Embodiment Construction

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0050] The purpose of the present invention is to provide a driving behavior risk prediction method and system, which can dynamically and timely judge the risk and ensure the real-time performance of risk evaluation and early warning.

[0051] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and s...

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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.

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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26G07C5/08G07C5/00G16Y10/40G16Y20/10G16Y20/20G16Y40/10G16Y40/20G16Y40/50
CPCG06Q10/04G06Q10/0635G06Q50/265G07C5/0841G07C5/008G16Y10/40G16Y20/10G16Y20/20G16Y40/10G16Y40/20G16Y40/50
Inventor 李朋超周娜娜弭如坤周逢军王坤魏斌许媛魏国亮刘露
Owner 北京理工大学前沿技术研究院
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