Citation

Wu Y, Boyle LN, McGehee D, Roe CA, Ebe K, Foley J. Accid. Anal. Prev. 2017; 99: 102-109.

Affiliation

Toyota Collaborative Safety Research Center, Ann Arbor, MI USA.

Copyright

(Copyright © 2017, Elsevier Publishing)

DOI

10.1016/j.aap.2016.10.019

PMID

27894024

Abstract

Data from a naturalistic driving study was used to examine foot placement during routine foot pedal movements and possible pedal misapplications. The study included four weeks of observations from 30 drivers, where pedal responses were recorded and categorized. The foot movements associated with pedal misapplications and errors were the focus of the analyses. A random forest algorithm was used to predict the pedal application types based the video observations, foot placements, drivers' characteristics, drivers' cognitive function levels and anthropometric measurements. A repeated multinomial logit model was then used to estimate the likelihood of the foot placement given various driver characteristics and driving scenarios. The findings showed that prior foot location, the drivers' seat position, and the drive sequence were all associated with incorrect foot placement during an event. The study showed that there is a potential to develop a driver assistance system that can reduce the likelihood of a pedal error.

Copyright © 2016 Elsevier Ltd. All rights reserved.

Language: en