Inverse dynamics of vehicle minimum time manoeuvre for collision avoidance problem

The paper describes a method for inverse dynamics of vehicle minimum time manoeuvre for collision avoidance problem. Based on this purpose, the vehicle minimum time manoeuvre for collision avoidance, which is treated as an optimal control problem, is firstly converted into a nonlinear programming problem by Gauss pseudospectral method (GPM) and is then solved with sequential quadratic programming (SQP). Finally, a real vehicle test was executed to verify the rationality of the proposed model and methodology. The results show that the simulation values are in good agreement with the real vehicle test values. The algorithm is not only precise, but can also shorten the evaluation period of vehicle handling stability and reduce the tremendous cost for real vehicle testing. The study can more truly simulate the emergency collision avoidance quality including the varying of minimum avoidable distance with different initial velocity.

• Record URL:
  • https://doi.org/10.1504/IJVS.2016.079654
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/14793105
• Supplemental Notes:
  • Copyright © 2016 Inderscience Enterprises Ltd.
• Authors:
  • Liu, Yingjie
  • Jiang, Junsheng
• Publication Date: 2016

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 120-135
• Serial:
  • International Journal of Vehicle Safety
  • Volume: 9
  • Issue Number: 2
  • Publisher: Inderscience Enterprises Limited
  • ISSN: 1479-3105
  • EISSN: 1479-3113
  • Serial URL: http://www.inderscience.com/jhome.php?jcode=ijvs

Subject/Index Terms

• TRT Terms: Crash avoidance systems; Crashes; Distance; Driving; Time
• Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 01614005
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 25 2016 9:17AM