INVERSE ESTIMATION OF FRICTION COEFFICIENT OF WINTER ROAD SURFACE WITH VEHICULAR MOTION DATA MEASURED BY GPS-EQUIPPED PROBE VEHICLES
This study is concerned with a snow and ice control system based on a friction coefficient. A method was developed to estimate the friction coefficient on winter road surfaces indirectly from vehicular motion data. The interaction between tire and road surface was taken into account and integrated into a genetic algorithm. The friction coefficients estimated by the method were better fitted to the actual measured values, compared with those estimated by conventional physical formulas. More conveniently, the friction coefficients estimated were not sensitive to the parameters of the tire model that are difficult to measure in a real field.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00978515
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Nakatsuji, T
- Kawamura, A
- Maeda, T
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Conference:
- Sixth International Symposium on Snow Removal and Ice Control Technology
- Location: Spokane, Washington
- Date: 2004-6-7 to 2004-6-9
- Publication Date: 2004-6
Language
- English
Media Info
- Features: Figures; References; Tables;
- Pagination: p. 442-454
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Serial:
- Transportation Research Circular
- Issue Number: E-C063
- Publisher: Transportation Research Board
- ISSN: 0097-8515
Subject/Index Terms
- TRT Terms: Coefficient of friction; Genetic algorithms; Global Positioning System; Probe vehicles; Rolling contact; Snow and ice control; Surface course (Pavements); Winter maintenance
- Uncontrolled Terms: Vehicular motion data
- Subject Areas: Highways; Maintenance and Preservation; I62: Winter Maintenance;
Filing Info
- Accession Number: 00974864
- Record Type: Publication
- Report/Paper Numbers: E-C063,, SNOW04-005, SNOW04-039
- Files: TRIS, TRB
- Created Date: Jun 10 2004 12:00AM