The Proceedings of the Dynamics & Design Conference
Online ISSN : 2424-2993
2007
Session ID : 133
Conference information
133 Inverse analysis of vehicle motion with trouble using Neural network
Hirofumi MINAMOTOHiroki FUJIIShozo KAWAMURA
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Abstract
At our previous study we tried applying Neural network with the simulation result of straight brake motion and vehicle turning motion as teaching data to perform traffic accident reconstruction simulation. Recently vehicle with safety devices such as ABS or ESC(Electronic Stability Control) is spreading. In this study we perform inverse analysis of vehicle motion for straight braking and vehicle turning motion for vehicle with ABS. The tire damage takes about 30% of trouble at highway. Especially tire-burst easily causes a serious accident. So we perform reconstruction of vehicle motion with tire-burst, as one example of inverse analysis of motion of vehicle with trouble.
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© 2007 The Japan Society of Mechanical Engineers
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