Determining vehicle pre-crash speed in frontal barrier crashes using artificial neural network for intermediate car class.

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.

journal_name

Forensic Sci Int

authors

Mrowicki A,Krukowski M,Turoboś F,Kubiak P

doi

10.1016/j.forsciint.2020.110179

subject

Has Abstract

pub_date

2020-03-01 00:00:00

pages

110179

eissn

0379-0738

issn

1872-6283

pii

S0379-0738(20)30041-4

journal_volume

308

pub_type

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