A KNOWLEDGE-BASED SYSTEM FOR TRANSIT BUS MAINTENANCE
A knowledge-based system for bus maintenance has the potential for improving the efficiency and effectiveness of bus maintenance by making the knowledge of the most highly skilled maintenance personnel available throughout the transit industry. A knowledge-based system is a practical application of the research that has been performed on artificial intelligence. These systems have been developed for a wide range of applications, including the diagnosis of dieselelectric locomotive problems. The four basic elements of a knowledge-based system are described, and an example is provided of the application of such a system to bus maintenance. From a review of the impact on performance of two other techniques for bus diagnosis, spectrochemical oil analysis and the New York City Transit Authority's Automated Bus Diagnostic System, it is concluded that both a reduction in the time required for diagnosis and an increase in the quality of maintenance, measured in terms of a reduction in road calls, would be achieved. It is recommended that a prototype system be developed so that both the costs of implementation and the savings that would result can be determined.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/0309039088
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Supplemental Notes:
- 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. Publication of this paper sponsored by Committee on Transit Bus Maintenance.
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Authors:
- WOOD, PETER
- Publication Date: 1985
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 85-91
- Monograph Title: Winter and transit bus maintenance and highway maintenance management
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Serial:
- Transportation Research Record
- Issue Number: 1019
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Artificial intelligence; Buses; Diagnostic tests; Economic efficiency; Information processing; Maintenance personnel; Productivity; Reliability; Vehicle maintenance
- Identifier Terms: New York City Transit Authority
- Uncontrolled Terms: Bus maintenance; Diagnostics; Efficiency; Time savings
- Subject Areas: Administration and Management; Economics; Highways; Maintenance and Preservation; Public Transportation; Vehicles and Equipment; I61: Equipment and Maintenance Methods;
Filing Info
- Accession Number: 00453132
- Record Type: Publication
- ISBN: 0309039088
- Files: TRIS, TRB
- Created Date: May 31 1986 12:00AM