Development of a Software-based Rollover Warning Device
This paper details the research and development of a software-based rollover-warning device (RWD) to be used for road vehicles, with plans for hardware implementation. Although the RWD development concept is fairly general, the design described herein was geared toward heavy vehicles with high center-of-gravity height to track-width ratios. The RWD uses artificial neural networks to learn the dynamic input/output response of a road vehicle and estimate the instantaneous roll stability using inputs that are relatively easy to measure. The state of roll stability is quantified using a convenient measure called load-transfer ratio (LTR) and used in conjunction with the rate of change of LTR as inputs to the RWD based on a fuzzy logic rule-base for determination of an output warning level. Although the current RWD is based purely on computer simulation, experimental validation was performed and will be published at a later date.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/30654285
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Authors:
- Goldman, Robert
- El-Gindy, Moustafa
- Kulakowski, Bohdan T
- Publication Date: 2005
Language
- English
Media Info
- Media Type: Print
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 282-306
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Serial:
- International Journal of Heavy Vehicle Systems
- Volume: 12
- Issue Number: 4
- Publisher: Inderscience Enterprises Limited
- ISSN: 1744-232X
- EISSN: 1741-5152
- Serial URL: http://www.inderscience.com/jhome.php?jcode=IJHVS
Subject/Index Terms
- TRT Terms: Automotive engineering; Heavy vehicles; Neural networks; Rollover crashes; Software; Vehicle design; Vehicle dynamics; Vehicle safety; Warning systems
- Uncontrolled Terms: Load transfer ratio; Roll stability
- Subject Areas: Design; Highways; Vehicles and Equipment; I91: Vehicle Design and Safety;
Filing Info
- Accession Number: 01046611
- Record Type: Publication
- Files: TRIS
- Created Date: Apr 25 2007 1:46PM