COUNTYWIDE TRAFFIC SIGNAL MAINTENANCE PROGRAM
Creation of an effective traffic signal maintenance program requires gathering and analyzing a large amount of data on existing conditions and on the history of maintenance activities. A model has been developed that allows the testing of various maintenance strategies based on historical data from the system being simulated. The computer program, adaptable to almost any computer, does not require user expertise in programming. Its outputs include summary reports, which are an excellent basis for management control and planning. Labor and budget requirements for achieving various levels of accident reduction can be calculated. The model is a valuable tool both for program budgeting and for short- and long-range planning. (Author)
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- Summary URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/0309029805
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Supplemental Notes:
- Publication of this paper sponsored by Committee on Maintenance and Operations Systems. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved.
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Authors:
- Randolph, Dennis A
- Datta, Tapan K
- Publication Date: 1979
Media Info
- Media Type: Print
- Features: Figures; References;
- Pagination: pp 44-50
- Monograph Title: Maintenance, Economics, Management, and Pavements
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Serial:
- Transportation Research Record
- Issue Number: 727
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Budgeting; Labor costs; Maintenance management; Planning; Simulation; Traffic signals
- Subject Areas: Finance; Highways; Maintenance and Preservation; Planning and Forecasting;
Filing Info
- Accession Number: 00310746
- Record Type: Publication
- ISBN: 0309029805
- Files: TRIS, TRB
- Created Date: Aug 5 1980 12:00AM