Kus, RecaiTaskiran, UgurBayrakceken, Huseyin2020-03-262020-03-262011978-1-84626-070-4https://hdl.handle.net/20.500.12395/266654th International Conference on Modelling and Simulation (ICMS2011) -- APR 25-26, 2011 -- Phuket, THAILANDMost 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.eninfo:eu-repo/semantics/closedAccessVehiclebraking performanceroad surfaceANN modelbraking forcesConference Object219224WOS:000394194700049N/A