• DocumentCode
    3527411
  • Title

    Vehicle steering maneuvers with direct trajectory optimization

  • Author

    Soudbakhsh, D. ; Eskandarian, A. ; Chichka, D.

  • Author_Institution
    Center for Intell. Syst. Res. (CISR), George Washington Univ., Ashburn, VA, USA
  • fYear
    2010
  • fDate
    21-24 June 2010
  • Firstpage
    449
  • Lastpage
    453
  • Abstract
    Steering control systems have been used to develop vehicle automated lane change maneuvers or evasive maneuvers for collision avoidance. Most of these systems have used predetermined desired trajectories to perform the required maneuvers. In this study, an optimal trajectory is found while ensuring minimization of lateral acceleration throughout the maneuver. Collocation technique was used to numerically solve the nonlinear programming problem. The results show a near optimal trajectory can be achieved. The generated trajectory is compared to that of a fifth-order polynomial. The resultant trajectory was substantially better than the polynomial one, with both a lower peak and the overall lateral accelerations.
  • Keywords
    collision avoidance; nonlinear programming; polynomials; road vehicles; steering systems; collision avoidance; evasive maneuvers; fifth-order polynomial; nonlinear programming; steering control systems; vehicle automated lane change maneuvers; vehicle steering maneuvers; Acceleration; Automatic control; Bicycles; Control systems; Equations; Intelligent vehicles; Optimal control; Polynomials; Sliding mode control; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2010 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4244-7866-8
  • Type

    conf

  • DOI
    10.1109/IVS.2010.5547966
  • Filename
    5547966