Features of Ageing Female Car Drivers for Computational Modelling

Volkan Esat, J. Feng, B. Serpil Acar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Accident patterns involving ageing occupants and increasing number of ageing drivers all around the world have been gathering attention in automotive safety and associated design fields. Research reveals that ageing women are more prone to injury during automobile crash accidents. In order to identify the physical features of ageing female drivers, anthropometric data and in-car measurements for driving positions are taken at Loughborough University, UK. Anthropometric data that is relevant to automobile design such as weight, stature, sitting height, and in-car measurements such as driving posture parameters are collected from 50 ageing female occupants (65 years of age and older). The measurements are verified by comparing anthropometrical data in this study with data sets from other sources. There is no physical anthropomorphic test device (ATD) or computational human model used in simulation of accidents involving older occupants. Essential data are collected in this study to assist identifying the features of ageing female drivers for an ageing occupant model. This article explains the data collection process and identification of features of ageing female drivers to investigate if there is any need for a specific model to represent ageing female populations in automotive safety.
Original languageEnglish
Title of host publicationProceedings of CMBBE2010 – 9th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, Valencia, Spain
Number of pages6
ISBN (Electronic)978-0-9562121-3-9
Publication statusPublished - 2010

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