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Determining vehicle pre-crash speed in frontal barrier crashes using artificial neural network for intermediate car
Adam Mrowicki1, Mateusz Krukowski2, Filip Turoboś2
1Department of Vehicles and Fundamentals of Machine Design, Lodz University of Technology, Poland.
Abstract:
This paper introduces a new, innovative approach to pre-crash velocity determination, namely the artificial neural networks. A perceptron based on a database obtained from NHTSA (National Highway Traffic Safety Administration) with numerous data concerning frontal vehicle crash tests: i.e. vehicle mass, deformation zone and deformation coefficients C1-C6. Part of the database entries were used to train the network to develop consistent accuracy and the remainder was used as validation and training sets.
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