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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/10551417
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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
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Corporate Authors:
University of California, Irvine
Institute of Transportation Studies
4000 Anteater Instruction and Research Building
Irvine, CA United States 92697University of California, Berkeley
California PATH Program, Institute of Transportation Studies
Richmond Field Station, 1357 South 46th Street
Richmond, CA United States 94804-4648California 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.
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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