IMPLEMENTING A KALMAN FILTERING DYNAMIC O-D ALGORITHM WITHIN PARAMICS : ANALYSING QUADSTONE WON EFFORTS FOR THE DYNAMIC O-D ESTIMATION PROBLEM

This paper describes research in which a Kalman filtering (KF) algorithm was implemented for the dynamics and prediction of network origin destination (OD) matrices with only the traffic simulator Paramics. The paper describes the four advanced programming interfaces (APIs) that were developed in order to implement the KF algorithm within Paramics. The paper also discusses the proposed Quadstone (developer of Paramics) approach for developing a dynamic origin destination (O-D) estimation procedure.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/10551417
• Supplemental Notes:
  • Publication Date: May 2003. California PATH Program, Institute of Transportation Studies University of California, Berkeley CA. Remarks: Also available online through the PATH Web site <www.path.berkeley.edu>. Format: website
• Corporate Authors:

  University of California, Irvine

  Institute of Transportation Studies
  4000 Anteater Instruction and Research Building
  Irvine, CA  United States  92697

  University of California, Berkeley

  California PATH Program, Institute of Transportation Studies
  Richmond Field Station, 1357 South 46th Street
  Richmond, CA  United States  94804-4648

  California Department of Transportation

  1120 N Street
  Sacramento, CA  United States  95814
• Authors:
  • Garcia, Reinaldo C
• Publication Date: 2003

Language

• English

Media Info

• Pagination: 18 p.
• Serial:
  • PATH working paper ; UCB-ITS-PWP-2003-8
  • Publisher: University of California, Irvine
  • ISSN: 1055-1417

Subject/Index Terms

• TRT Terms: Kalman filtering; Traffic estimation

Filing Info

• Accession Number: 00962380
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Report/Paper Numbers: UCB-ITS-PWP-2003-8
• Files: PATH, STATEDOT
• Created Date: Sep 2 2003 12:00AM