Active and passive security fusion evaluation weight coefficient determination method and system

By acquiring and combining data of the vehicle's active safety and passive safety system, and using hierarchical analysis method and multi-layer perceptron model to extract index weights, the problem that the existing technology cannot evaluate the safety performance of the integrated system of active and passive safety technology is solved, and a scientific and complete automobile safety assessment method is realized.

CN119692195APending Publication Date: 2025-03-25CHINA AUTOMOTIVE ENG RES INST
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Patent Information

Application Number
CN202411859517.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-17
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

The existing automotive safety assessment methods cannot effectively evaluate the safety performance of the active and passive safety technology integration system, and cannot re-determine the weights of each test indicator and the respective weights of active and passive safety, resulting in the inability to calculate the total score of active and passive joint assessment.

Method used

By obtaining the braking data of the vehicle's active safety system in different scenarios and the damage data of human-vehicle collisions in the passive safety system, the indicators of active safety and passive safety are linked, and the index weight coefficient values ​​for fusion evaluation are extracted using hierarchical analysis method and multi-layer perceptron model.

Benefits of technology

A scientific and complete evaluation method for the active and passive safety integration system is realized, with high data accuracy, strong objectivity and strong comprehensiveness, and the total score of the active and passive joint evaluation can be calculated.

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Abstract

The invention discloses an active and passive safety fusion evaluation weight coefficient determination method and system, and relates to the technical field of automobile safety evaluation, and the method comprises the steps: obtaining active safety data and passive safety data; combining the active and passive data to obtain total sample data; constructing an analytic hierarchy model and a judgment matrix of each hierarchy; calculating a total level sequence of all indexes in the scheme layer to obtain a weight value of each index; performing weighted scoring on each data sample to obtain a total score; constructing a multi-layer perceptron model; and extracting the final weight of each index. According to the method, the vehicle speed after braking of the vehicle active safety system is taken as the collision speed of human-vehicle collision simulation in the passive safety system, and an active safety index and a passive safety index are associated to carry out active and passive safety fusion evaluation; and the index weight coefficient value for fusion evaluation is extracted through an analytic hierarchy process and construction of a multi-layer perceptron model, so that the data accuracy is high, the objectivity is high, and the comprehensiveness is high.
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