6533b82ffe1ef96bd12959ad

RESEARCH PRODUCT

Adaptive neural-fuzzy inference system based method to modeling of vehicle crash

Hamid Reza KarimiLin ZhaoWitold PawlusKjell G. Robbersmyr

subject

EngineeringCenter of gravityAdaptive neuro fuzzy inference systembusiness.industryProcess (computing)Oblique caseControl engineeringStage (hydrology)KinematicsbusinessCollisionAccelerometerSimulation

description

Various areas of research need to be considered in order to establish a mathematical model of a vehicle crash. To enhance the modeling process, a novel ANFIS-based approach to reconstruct behavior of impacting vehicles is presented in this paper. Kinematics of center of gravity (COG) a vehicle involved in an oblique barrier collision is reproduced by application of a five-layered ANFIS structure. Then, the same ANFIS system is used to simulate a different collision type than the one which was used in the training stage. The points of interests are selected to be the locations of accelerometers mounting. The accuracy of the proposed method is evaluated by the comparative analysis with the reference measurements from full-scale vehicle collisions.

yearjournalcountryeditionlanguage
2013-02-012013 IEEE International Conference on Mechatronics (ICM)
https://doi.org/10.1109/icmech.2013.6518565