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.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Publication Date
- 2018-08-31
Smart Images

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Abstract
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...
Examples
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...