A proposed optimal control driver vehicle model for the evaluation of short range roadway delineation

Current methods of evaluating short range roadway delineation are not successful because of lack of objectivity or sensitivity. A new method using an optimal control driver vehicle model has been proposed. The basic hypothesis of this method is that the quality of roadway delineation will be accurately and sensitively reflected in the visual observation noise covariance parameter of the model. The progress of an exploratory study of the model's applicability to delineation evaluation is reported here. The six basic types of man machine models are reviewed to put the optimal control type models in context. Then some relevant results from modern optimal control theory are given and explained as background to an understanding of the details of the model. The two forms of the optimal control model are examined. The simpler is chosen as the most likely to lead to success and the future programme of work is mapped out (a).

  • Corporate Authors:

    University of Melbourne. Department of Mechanical Engineering

    Parkville, Victoria   
  • Authors:
    • Baxter, G L
    • Good, M C
  • Publication Date: 1979-9

Language

  • English

Media Info

  • Pagination: V + 93P
  • Serial:
    • Issue Number: DSR-97-3

Subject/Index Terms

Filing Info

  • Accession Number: 01439127
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: ATRI
  • Created Date: Aug 24 2012 10:02PM