Journal article
Foot placement during error and pedal applications in naturalistic driving
Accident analysis and prevention, Vol.99(Pt A), pp.102-109
02/2017
DOI: 10.1016/j.aap.2016.10.019
PMID: 27894024
Abstract
•Foot placements were examined using video and driver data collected from naturalistic driving data.•Pedal application types were categorized into notable pedal responses and pedal errors.•Random forest tree and multinomial logistic regression were used to predict the pedal application and foot placement types.•A driver assistance system can be developed to detect an anomalous foot pedal application in the context of the drive.
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.
Details
- Title: Subtitle
- Foot placement during error and pedal applications in naturalistic driving
- Creators
- Yuqing Wu - University of WashingtonLinda Ng Boyle - University of WashingtonDaniel McGehee - University of IowaCheryl A Roe - University of IowaKazutoshi Ebe - ToyotaJames Foley - Toyota
- Resource Type
- Journal article
- Publication Details
- Accident analysis and prevention, Vol.99(Pt A), pp.102-109
- DOI
- 10.1016/j.aap.2016.10.019
- PMID
- 27894024
- NLM abbreviation
- Accid Anal Prev
- ISSN
- 0001-4575
- eISSN
- 1879-2057
- Publisher
- Elsevier Ltd
- Grant note
- name: Toyota Collaborative Safety Research Center
- Language
- English
- Date published
- 02/2017
- Academic Unit
- Occupational and Environmental Health; Iowa Technology Institute; Emergency Medicine; Driving Safety Research Institute; Industrial and Systems Engineering; Center for Social Science Innovation; Injury Prevention Research Center; Public Policy Center (Archive)
- Record Identifier
- 9984186960602771
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