Journal article
Modeling Types of Pedal Applications Using a Driving Simulator
Human factors, Vol.57(7), pp.1276-1288
11/2015
DOI: 10.1177/0018720815589665
PMID: 26089118
Abstract
The aim of this study was to examine variations in drivers' foot behavior and identify factors associated with pedal misapplications.
Few studies have focused on the foot behavior while in the vehicle and the mishaps that a driver can encounter during a potentially hazardous situation.
A driving simulation study was used to understand how drivers move their right foot toward the pedals. The study included data from 43 drivers as they responded to a series of rapid traffic signal phase changes. Pedal application types were classified as (a) direct hit, (b) hesitated, (c) corrected trajectory, and (d) pedal errors (incorrect trajectories, misses, slips, or pressed both pedals). A mixed-effects multinomial logit model was used to predict the likelihood of one of these pedal applications, and linear mixed models with repeated measures were used to examine the response time and pedal duration given the various experimental conditions (stimuli color and location).
Younger drivers had higher probabilities of direct hits when compared to other age groups. Participants tended to have more pedal errors when responding to a red signal or when the signal appeared to be closer. Traffic signal phases and locations were associated with pedal response time and duration. The response time and pedal duration affected the likelihood of being in one of the four pedal application types.
Findings from this study suggest that age-related and situational factors may play a role in pedal errors, and the stimuli locations could affect the type of pedal application.
Details
- Title: Subtitle
- Modeling Types of Pedal Applications Using a Driving Simulator
- Creators
- Yuqing Wu - University of WashingtonLinda Ng Boyle - University of WashingtonDaniel McGehee - University of IowaCheryl A Roe - University of IowaKazutoshi Ebe - University of WashingtonJames Foley - Toyota
- Resource Type
- Journal article
- Publication Details
- Human factors, Vol.57(7), pp.1276-1288
- DOI
- 10.1177/0018720815589665
- PMID
- 26089118
- NLM abbreviation
- Hum Factors
- ISSN
- 0018-7208
- eISSN
- 1547-8181
- Language
- English
- Date published
- 11/2015
- 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
- 9984187060802771
Metrics
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