Neural Network Modelling of Breaking Force in Variable Road and Slope Conditions
Küçük Resim Yok
Tarih
2011
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
WORLD ACAD UNION-WORLD ACAD PRESS
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Most of the traffic accidents occur when the vehicle could not stop at desired point and time. The most important factors affecting the breaking performance are wheel and road conditions and parts which make up breaking system. Breaking test can be performed as road tests or can be carried out on breaking test equipment. Because road tests require special test areas and long time to complete, experiments performed with test equipment are preferred. The duration of tests and studies can be shortened by modeling experimental results with artificial neural networks (ANN). In this study, breaking outcomes are examined in different roads like linear and side slope roads, in different slipping conditions of the road; differences between the breaking performances are determined and mathematical model based on ANN is developed.
Açıklama
4th International Conference on Modelling and Simulation (ICMS2011) -- APR 25-26, 2011 -- Phuket, THAILAND
Anahtar Kelimeler
Vehicle, braking performance, road surface, ANN model, braking forces
Kaynak
PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE OF MODELLING AND SIMULATION (ICMS2011), VOL 2
WoS Q Değeri
N/A
