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Passenger road traffic accident damage prediction method

A technology for road traffic and prediction methods, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem that damage cannot be refined to various body parts, and achieve the effect of convenient and fast modeling and improving output accuracy.

Active Publication Date: 2019-10-25
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide an occupant road traffic accident injury prediction method for the problem that the damage output by the traditional injury prediction model cannot be refined to each body part

Method used

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  • Passenger road traffic accident damage prediction method
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  • Passenger road traffic accident damage prediction method

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Embodiment Construction

[0045] In order to make the above-mentioned purpose, features and advantages of the present application more obvious and understandable, the specific implementation manners of the present application will be described in detail below in conjunction with the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar improvements without departing from the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.

[0046]It should be noted that when an element is referred to as being “disposed on” another element, it may be directly on the other element or there may also be an intervening element. When an element is referred to as being "connected to" ...

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Abstract

According to the passenger road traffic accident damage prediction method provided by the invention, the passenger injury influence simulation matrix is formed by selecting the research parameters, sothat the main effect and the interaction effect of each influence parameter can be analyzed, coupling analysis among the parameters is realized, and the output precision of damage prediction is improved. Through parameterized finite element modeling, an accident simulation model under any working condition can be obtained, variables can be controlled in research, only influence parameters needingto be researched are changed under the condition that most parameters are fixed, and the defects that accident data is large in individual difference and parameter extraction lacks a unified standardare overcome. In addition, finite element modeling is convenient and fast, and a database is provided for development of a damage output prediction algorithm. Damage output in a finite element simulation mode can be refined to all body parts, and a more direct and detailed damage prediction result can be provided in future traffic assistance.

Description

technical field [0001] The present application relates to the field of human injury assessment, in particular to a method for predicting occupant injury in road traffic accidents. Background technique [0002] In recent years, research on occupant injury prediction in road traffic accidents is mostly based on regression fitting of road accident statistics. Take the accident automatic emergency call system used on some cars as an example (advanced automatic collision notification, AACN). The core technical issue of this system is the development of damage prediction algorithms. Most of the current algorithms are based on accident statistics. The database of the transportation department performs regression fitting of damage and accident parameters. Analysis based on accident data usually satisfies objectivity. The AACN system is installed on the vehicle and can obtain real-time vehicle condition information, such as seat belt wearing status, vehicle speed, and the number of...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/15G06F30/23
Inventor 聂冰冰杨赛超周青
Owner TSINGHUA UNIV
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