China Safety Science Journal ›› 2018, Vol. 28 ›› Issue (5): 49-55.doi: 10.16265/j.cnki.issn1003-3033.2018.05.009

• Safety Systematology • Previous Articles     Next Articles

Study on sensitivities of reconstruction system to parameters for collision between sedan and electric two-wheeler

LI Wei1,2, QIAN Yubin1, FENG Hao2   

  1. 1 College of Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620,China;
    2 Shanghai Forensic Service Platform,Academy of Forensic Science,Shanghai 200063,China
  • Received:2018-02-01 Revised:2018-04-10 Online:2018-05-28 Published:2020-11-25

Abstract: In order to determine the sensitivities of accident reconstruction system to parameters for collision between sedan and electric two-wheeler,affecting parameters were identified according to a real case and an orthogonal test was designed and carried out,and the sensitive orders of parameters affecting the stopping positions of sedan,electric two-wheeler and cyclist were obtained through variance analysis.And another case was reconstructed by PC-Crash for 2 times,according to whether or not the sensitivity ranking was used,to verify credibility and reliability of the research conclusions.The results show that the sensitive parameters affecting the final position of the sedan only is deceleration of sedan,sensitivity orders of parameters affecting the final positions of electric two-wheeler and cyclist are as follows: longitudinal angle of two vehicles at collision > collision point > driver's reaction time > velocity of sedan > centroid height of electric two-wheeler > steering angle of sedan、velocity of sedan > speed of electric two-wheeler > longitudinal angle of two vehicles at collision > collision point,and the reconstruction of the accidents,in accordance with sensitivity order of parameters can reduce the speed error and the final position error of each participant significantly.

Key words: sedan to electric two-wheeler accident, PC-Crash, orthogonal test, variance analysis, parameter sensitivity, event data recorder (EDR) data

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