Literature DB >> 22836114

Driver's lane keeping ability with eyes off road: Insights from a naturalistic study.

Yiyun Peng1, Linda Ng Boyle, Shauna L Hallmark.   

Abstract

Many studies have shown that driver inattention can influence lane-keeping ability. The majority of studies on lane keeping have been conducted in controlled on-road networks or in simulated environments. However, few studies have examined lane-keeping ability in naturalistic settings for the same purpose. In this current study, the relationship between driver inattention and lane keeping ability was examined using naturalistic data for 24 drivers. Driver inattention was placed into two categories based on whether drivers were looking forward toward the roadway (inattention with eyes-on-road) or not looking forward (inattention with eyes-off-road) while engaged in a secondary task. Repeated measures regression models were used to account for within-subject correlations. The results showed that, after accounting for driving speed and lane width, the eyes-off-road significantly increased the standard deviation of lane position (SDLP). The findings from this study are consistent with other studies that show that the amount of time drivers spend looking away from the road can impact drivers' ability to maintain their lane position. Additionally, this paper demonstrates how driver inattention can be examined with real world data while accounting for the roadway, environment, and driver behavior.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 22836114     DOI: 10.1016/j.aap.2012.06.013

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  8 in total

1.  Peer passenger influences on male adolescent drivers' visual scanning behavior during simulated driving.

Authors:  Anuj K Pradhan; Kaigang Li; C Raymond Bingham; Bruce G Simons-Morton; Marie Claude Ouimet; Jean T Shope
Journal:  J Adolesc Health       Date:  2014-05       Impact factor: 5.012

2.  Changes over 12 months in eye glances during secondary task engagement among novice drivers.

Authors:  Fearghal O'Brien; Sheila G Klauer; Johnathon Ehsani; Bruce G Simons-Morton
Journal:  Accid Anal Prev       Date:  2016-05-10

3.  Does agreement mean accuracy? Evaluating glance annotation in naturalistic driving data.

Authors:  Reinier J Jansen; Sander T van der Kint; Frouke Hermens
Journal:  Behav Res Methods       Date:  2021-02

4.  Adaptive automation: automatically (dis)engaging automation during visually distracted driving.

Authors:  Christopher D D Cabrall; Nico M Janssen; Joost C F de Winter
Journal:  PeerJ Comput Sci       Date:  2018-10-01

5.  Drivers' Attention Strategies before Eyes-off-Road in Different Traffic Scenarios: Adaptation and Anticipation.

Authors:  Zhuofan Liu; Wei Yuan; Yong Ma
Journal:  Int J Environ Res Public Health       Date:  2021-04-02       Impact factor: 3.390

6.  Classifying visuomotor workload in a driving simulator using subject specific spatial brain patterns.

Authors:  Chris Dijksterhuis; Dick de Waard; Karel A Brookhuis; Ben L J M Mulder; Ritske de Jong
Journal:  Front Neurosci       Date:  2013-08-21       Impact factor: 4.677

7.  Driving simulator scenarios and measures to faithfully evaluate risky driving behavior: A comparative study of different driver age groups.

Authors:  Jesse Michaels; Romain Chaumillon; David Nguyen-Tri; Donald Watanabe; Pierro Hirsch; Francois Bellavance; Guillaume Giraudet; Delphine Bernardin; Jocelyn Faubert
Journal:  PLoS One       Date:  2017-10-10       Impact factor: 3.240

8.  Haptic Lane-Keeping Assistance for Truck Driving: A Test Track Study.

Authors:  Jeroen Roozendaal; Emma Johansson; Joost de Winter; David Abbink; Sebastiaan Petermeijer
Journal:  Hum Factors       Date:  2020-06-18       Impact factor: 2.888

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.