Computer simulation based automobile collision accident reconstruction method

Abstract

The invention discloses a computer simulation based automobile collision accident reconstruction method. The method includes: acquiring accident scene data, and drawing an accident scene drawing; constructing an automobile collision kinematic model for computational analysis; finding out uncertainty impact factors, and determining an uncertainty assessment method; inputting related accident parameters including automobile brake traces, adhesion coefficients and collision angles; assessing accident automobile speed standard uncertainty u(xi); calculating a relative combined standard uncertaintycomponent u(yi) on the basis of the parameter u(xi), and further calculating relative combined standard uncertainty; solving extension uncertainty according to the relative combined standard uncertainty; introducing computer simulation verification, establishing an automobile finite element simulation model, and performing analytical calculation. By introduction of an uncertainty principle into an automobile accident judicial expertise process, influences of each uncertain factor on accident automobile speed can be considered fully; by introduction of computer simulation, an accident occurrence process is restored, and data support is provided for judicial expertise.

Description

technical field [0001] The invention belongs to the field of judicial identification of automobile traffic accidents, in particular to a method for reproducing automobile collision accidents based on computer simulation. Background technique [0002] Automobile collision accidents are a complex dynamic process, and there are large errors in vehicle speed identification and accident analysis, including the mass of the vehicle involved, the length of the brake mark, the adhesion coefficient between the vehicle and the ground, and the amount of deformation of the vehicle body. It is difficult to reproduce the research, and there are often problems such as difficult to recognize the circumstances of the accident, difficult to divide the responsibility of the accident, and difficult to protect the vital interests of the parties involved in the accident, which seriously threatens the safety of people's lives and property. [0003] The vehicle speed reproduction method based on the...

AI Technical Summary

Problems solved by technology

[0002] Automobile collision accidents are a complex dynamic process, and there are large errors in vehicle speed identification and accident analysis, including the mass of the vehicle involved, the length of the brake mark, the adhesion coefficient between the vehicle and the ground, and the amount of deformation of the vehicle body. It is difficult to reproduce the research, and there are often problems such as difficult to recognize the circumstances of the accident, difficult to divide the responsibility of the accident, and difficult to protect the vital interests of the parties involved in the accident, which seriously threatens the safety of people's lives and property

[0003] The vehicle speed reproduction method based on the uncertainty theory can well reflect the degree of influence of the uncertainty of the relevant parameters in the accident on the uncertainty of the vehicle speed identification results, thereby effectively reducing the uncertainty of the calculation results, but the accident vehicle speed Uncertainty analysis, because there are too many uncertain factors in the calculation model expression, which leads to certain distortion in the calculation results

[0004] At present, the existing technology is based on the experimental design method and the response surface method, and proposes an approximate method for uncertainty analysis, which has the advantage of not being limited by the complexity of the model, but the accuracy needs to be improved; an accident based on the Latin hypercube experimental design is proposed The parameter sensitivity analysis method of the reproduction model can obtain the parameters that have a significant impact on the accident reproduction results, but due to the limitation of the number of experiments, the error brought by the regression analysis will inevitably affect the reproduction results; the MUD method is proposed, which is compatible with the orthogonal experimental design Compared with the method, it only needs fewer simulation times to find the subspace domain that may produce extreme values, but it will require more simulation times when there are many input uncertain trace parameters; it is also proposed to apply the Monte Carlo method to In the uncertainty analysis of accident recurrence, the value range and probability distribution of accident recurrence results are obtained, but there are certain problems in the selection of sample size

[0005] Although the above methods can evaluate the uncertainty in different ways and realize the vehicle speed reproduction with high accuracy, these methods have a narrow range of application and are only applicable to a certain sequence of samples, and cannot adjust relevant parameters according to accidents with different characteristics to improve the reproduction. precision

Images