Improved Modeling Environment for ATMIS
This paper presents a new modeling approach in which the WATSim simulation model is interfaced with dynamic traffic assignment algorithms in order to simulate vehicles with route guidance/information systems. This enhanced model can generate origin-destination and path matrices from observed turning movement counts. It also provides comprehensive statistical, graphical and animation outputs of the vehicle movements. The model was applied to the downtown San Francisco Embarcadero network and is shown to be useful in evaluating the effectiveness of Advanced Traffic Management and Information Systems (ATMIS) strategies.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/10551425
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Supplemental Notes:
- Publication Date: 1997 Published By: California PATH Program, Institute of Transportation Studies, University of California, Berkeley CA
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Corporate Authors:
University of California, Berkeley
California PATH Program, Institute of Transportation Studies
Richmond Field Station, 1357 South 46th Street
Richmond, CA United States 94804-4648KLD Associates, Incorporated
47 Mall Drive, Suite 8
Commack, NY United States 11725-5717Korve Engineering, Incorporated
155 Grand Avenue, Suite 400
Oakland, CA United States 94612California Department of Transportation
1120 N Street
Sacramento, CA United States 95814 -
Authors:
- Skabardonis, Alexander
- Lieberman, E B
- MENAKER, PAUL
- Publication Date: 1997
Language
- English
Media Info
- Media Type: Digital/other
- Pagination: 1 v. (various pagings)
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Serial:
- PATH Research Report
- Publisher: University of California, Berkeley
- ISSN: 1055-1425
Subject/Index Terms
- TRT Terms: Route guidance; Simulation; Traffic assignment; Traffic flow
- Subject Areas: Operations and Traffic Management;
Filing Info
- Accession Number: 00775736
- Record Type: Publication
- Source Agency: UC Berkeley Transportation Library
- Report/Paper Numbers: UCB-ITS-PRR-97-33
- Files: PATH, TRIS, STATEDOT
- Created Date: Nov 17 1999 12:00AM