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A vehicle driving risk assessment method

A risk assessment and vehicle driving technology, which is applied in the field of driving risk assessment based on fuzzy comprehensive evaluation, and can solve problems such as situations that cannot accurately reflect actual dangers.

Active Publication Date: 2018-08-31
DALIAN ROILAND SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the rise of UBI Internet of Vehicles insurance and big data, there is an urgent need for a scientific method to evaluate the driver's driving risk. The evaluation results can be used as the support of the driving risk data of the test vehicle owner to remind and urge the owner to improve driving habits. , so as to improve the safety awareness of car owners, and can also provide a basis for insurance companies to formulate different levels of premiums. At present, the insurance evaluation of UBI at home and abroad is only after assigning appropriate weights to risk factors and doing simple fitting and calculation. But The evaluation results obtained by these methods cannot accurately reflect the actual dangerous situation

Method used

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  • A vehicle driving risk assessment method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0076] Example: such as figure 1 As shown, a vehicle driving risk assessment method includes the following steps:

[0077] S1. Select n test vehicles, and use the Internet of Vehicles equipment to collect the data of braking, turning, acceleration and mileage of each test vehicle;

[0078] S2. Establish an evaluation factor set. The evaluation factors in the factor set include: the number of times of braking, turning and accelerating, and the average daily mileage. The evaluation factor set is X={X 1 ,X 2 ,X 3 ,X 4};

[0079] S3. Construct the membership function of the evaluation factor:

[0080] Evaluation factor 1: Braking, denoted as X 1 :

[0081] a. Sub-factor set: X 1 ={X 11 (the number of light brakes per unit kilometer), X 12 (Number of times of moderate braking per unit kilometer), X 13 (Number of times of sudden braking per unit kilometer)}

[0082] b. Weight set: W 1 =(W 11 ,W 12 ,W 13 )=(0.15,0.35,0.5)

[0083] c. Membership function of each sub-f...

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PUM

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Abstract

A vehicle driving risk assessment method belongs to the technical of vehicles. The vehicle driving risk assessment method is technically characterized by comprising, S1, utilizing Internet of vehicle equipment to collect data of braking, steering, acceleration and travelled distance of vehicles to be tested; S2, establishing an assessment factor set; S3, structuring the membership functions of assessment factors; S4, providing object comments; S4, calculating the membership degree vector of every single factor to form a membership degree matrix; S6, establishing an assessment factor weight matrix; S7, performing operation of B=RoA on the membership degree matrix R and the assessment factor weight matrix A to obtain an assessment result. The vehicle driving risk assessment method can perform comprehensive assessment on driving risks as well as independent risk factors, thereby being beneficial to analyzing the influence of every dangerous driving factor on the driving risks.

Description

technical field [0001] The invention relates to a risk assessment method, in particular to a driving risk assessment method based on fuzzy comprehensive evaluation. Background technique [0002] With the rise of UBI Internet of Vehicles insurance and big data, there is an urgent need for a scientific method to evaluate the driver's driving risk. The evaluation results can be used as the support of the driving risk data of the test vehicle owner to remind and urge the owner to improve driving habits. , so as to improve the safety awareness of car owners, and can also provide a basis for insurance companies to formulate different levels of premiums. At present, the insurance evaluation of UBI at home and abroad is only after assigning appropriate weights to risk factors and doing simple fitting and calculation. But The evaluation results obtained by these methods cannot accurately reflect the actual dangerous situation. Contents of the invention [0003] The invention provi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/00
CPCG06Q10/04G06Q40/08
Inventor 田雨农张晓伟苍柏李刚
Owner DALIAN ROILAND SCI & TECH CO LTD
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