FREEWAY AND RAMP REAL TIME FORECASTING
This five volume report addressed two major weak points of the existing Washington State Department of Transportation ramp control system. These weak points included the fact that the system reacts to the problem ( congestion) rather than preventing the problem, and the system relies on detector data that may be faulty. Both of these problems can be minimized by developing methods to accurately predict short-term traffic data. Several pattern recognition and time series models were tested for further development. In both cases, the simpler models turned out be the best choices.
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Supplemental Notes:
- Publication Date: 1993 Published By: Washington State Dept. of Transportation, Olympia, Wash.
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Corporate Authors:
Washington State Transportation Center
University of Washington, 1107 NE 45th Street, Suite 535
Seattle, WA United States 98105TransNow, Transportation Northwest
University of Washington, Department of Civil Engineering
129 More Hall, Box 352700
Seattle, WA United States 98195-2700Washington State Department of Transportation
Transportation Building, 310 Maple Park Avenue SE, P.O. Box 47300
Olympia, WA United States 98504-7300Washington State Department of Transportation
Washington State Transportation Commission
Olympia, WA United States 98504 -
Authors:
- Nihan, N L
- Babla, Manish D
- Zhu, Jinde
- Knutson, Kenneth L
- Cabrera-Gonzalez, Iris
- Publication Date: 1993
Language
- English
Media Info
- Pagination: 5 v.
Subject/Index Terms
- TRT Terms: Advanced traffic management systems; Computer algorithms; Freeways; Pattern recognition systems; Ramp metering; Traffic congestion; Traffic estimation; Traffic flow
- Subject Areas: Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 00773678
- Record Type: Publication
- Source Agency: UC Berkeley Transportation Library
- Report/Paper Numbers: TNW 93-05, WA-RD 288.1, WA-RD 288.2
- Files: PATH, STATEDOT
- Created Date: Nov 17 1999 12:00AM