An Improved Algorithm of the Numerical Simulations of Rear-End Collisions

The paper aims to overcome the shortcomings caused in the method of restitution coefficient and the method of combining the effective crash velocity with the momentum conservation in order to compute the vehicle velocity. It also aims to make the reconstruction results of the car rear-end collision conform more closely to the situation. By analyzing the car crash process and the data collected through crash testing, the authors put forward a kind of velocity curve equation and deceleration curve equation in the vehicle crash process. The authors also modified the curve equations by simulated annealing arithmetic. The authors then established the model of monorail degree of freedom and solved the car movement track equations in the way of the fourth-order Runge-Kutta method. In the end, the authors constructed an algorithm using the software PC-Crash to verify its reliability.

• Record URL:
  https://doi.org/10.1061/9780784413623.221
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784413623
• Supplemental Notes:
  • © 2014 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Zhao, Jing
  • He, Hong-Yu
  • Yang, Hao-Jun
  • Pang, Jin-Liang
• Conference:
  • 14th COTA International Conference of Transportation Professionals
  • Location: Changsha , China
  • Date: 2014-7-4 to 2014-7-7
• Publication Date: 2014-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 2304-2312
• Monograph Title: CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems

Subject/Index Terms

• TRT Terms: Algorithms; Crash reconstruction; Crash tests; Data collection; Numerical analysis; Rear end crashes; Velocity
• Subject Areas: Highways; Safety and Human Factors; I80: Accident Studies;

Filing Info

• Accession Number: 01531234
• Record Type: Publication
• ISBN: 9780784413623
• Files: TRIS, ASCE
• Created Date: Jul 24 2014 3:21PM