FREEWAY OPERATIONS STUDY. PHASE IV. EVALUATION OF SELECTED SURFACE STREET NETWORK MODELS
The objective of this study is to select a surface street model best suited for integration with the FREQ3 freeway model and for ultimate incorporation into an urban freeway corridor model. The report begins with a general description of the evaluative procedure and of the selected evaluation criteria. A brief introduction to the SIGOP and TRANSYT models follows. Then the results of the application of these two models to an actual network are described. Finally, the evaluation of the SIGOP and TRANSYT models is described, and TRANSYT is selected as the model best suited for project needs. The report ends with a summary and a list of recommendations.
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Supplemental Notes:
- Sponsored in part by California Div. of Highways, Sacramento, and Federal Highway Administration, Washington, D.C. See also PB-241 864.
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Corporate Authors:
University of California, Berkeley
Institute of Transportation and Traffic Engineering
Berkeley, CA United StatesFederal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590California Division of Highways
1120 N Street
Sacramento, CA United States 95814 -
Authors:
- Dupuy, A C
- KITTELSON, W K
- May, A D
- Publication Date: 1974-6
Media Info
- Pagination: 102 p.
Subject/Index Terms
- TRT Terms: Computer programming; Computer programs; Freeways; Highway traffic control; Information processing; Mathematical models; Streets; Systems analysis; Traffic control; Traffic models; Transportation corridors; Urban transportation
- Identifier Terms: FORTRAN (Computer program language)
- Uncontrolled Terms: Models
- Geographic Terms: California
- Old TRIS Terms: Traffic control systems
- Subject Areas: Highways; Operations and Traffic Management; Terminals and Facilities;
Filing Info
- Accession Number: 00091426
- Record Type: Publication
- Source Agency: National Technical Information Service
- Report/Paper Numbers: 74-3 Intrm Rpt.
- Files: NTIS, TRIS, USDOT
- Created Date: Jul 15 1975 12:00AM