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Quality Assurance of Driver Comfort for Automatic Transmissions
Technical Paper
2000-01-0175
ISSN: 0148-7191, e-ISSN: 2688-3627
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Sector:
Event:
SAE 2000 World Congress
Language:
English
Abstract
This article describes an expert system for objective rating of subjective characteristics like driving comfort. The system uses radial basis neural networks that can be trained on any dynamic properties, for example acceleration. Training and retraining can be done in real-time. The system includes a measure of the reliability of automatic judgement, which can be used to signal when new training may be necessary.
The article shows in detail how the system has been used to automatically judge gearshift comfort for automatic transmission. Tests indicate that the system's accuracy and consistency are as good as one of Volvo's best experts.
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Authors
Topic
Citation
Schnetzler, S., Pettersson, J., and Murtonen, P., "Quality Assurance of Driver Comfort for Automatic Transmissions," SAE Technical Paper 2000-01-0175, 2000, https://doi.org/10.4271/2000-01-0175.Also In
Human Factors in 2000: Driving, Lighting, Seating Comfort, and Harmony in Vehicle Systems
Number: SP-1539; Published: 2000-03-06
Number: SP-1539; Published: 2000-03-06
SAE 2000 Transactions Journal of Passenger Cars - Mechanical Systems
Number: V109-6; Published: 2001-09-15
Number: V109-6; Published: 2001-09-15
References
- Leonard J.A. Kramer M.A. Ungar L.H. 1992 “Using Radial Basis Functions to Approximate a Function and its Error Bounds” IEEE Transactions on Neural Networks 3 4 624 627
- Peedrycz Witold 1998 “Conditional Fuzzy Clustering in the Design of Radial Basis Function Networks” IEEE Transactions on Neural Networks 9 4 601 612
- Wasserman P. D. Neural Computing 0-442-20743-3
- Wasserman P. D. Advanced methods in neural computing 0-442-00461-3
- Schnetzler Steff Human's sensitivity to vehicle vibrations
- VAT2000