Literature DB >> 29248619

A new approach for assessing and training drivers' speed management.

Noelle LaVoie1, Yi-Ching Lee2, Anna Allison3, James Parker3.   

Abstract

Motor vehicle crashes are the leading cause of death and injury for teens and speeding is a major contributor, particularly driving too fast for conditions (CDC, 2015, 2013; NHTSA, 2012; Lam, 2003; McKnight & McKnight, 2003). Speed management is a type of tacit knowledge learned through experience that combines speed perception with decisions about safety. Effective training and assessment of speed management requires a safe method for accumulating practice that includes realistic perceptual cues. This study investigated whether speed can be manipulated in an online environment using special effects technology without distorting speed perception. A forced-choice experiment revealed that drivers' perception of speed was not influenced by the special effects technology, indicating that critical perceptual information was not altered by the speed manipulation of the videos. The experiment also looked at the role of experience in detecting speed differences and found that experienced drivers were able to make judgments about speed more quickly than inexperienced drivers. Implications of these findings for training and assessment are discussed.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Driving safety; Speed management; Teen driving

Mesh:

Year:  2017        PMID: 29248619      PMCID: PMC5780225          DOI: 10.1016/j.aap.2017.12.002

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


  17 in total

1.  Driving in fog: the effects of driving experience and visibility on speed compensation and hazard avoidance.

Authors:  Alexandra S Mueller; Lana M Trick
Journal:  Accid Anal Prev       Date:  2012-03-28

2.  Perceptual processes used by drivers during overtaking in a driving simulator.

Authors:  Rob Gray; David M Regan
Journal:  Hum Factors       Date:  2005       Impact factor: 2.888

3.  Factors associated with young drivers' car crash injury: comparisons among learner, provisional, and full licensees.

Authors:  Lawrence T Lam
Journal:  Accid Anal Prev       Date:  2003-11

4.  Peer influence on speeding behaviour among male drivers aged 18 and 28.

Authors:  Mette Møller; Sonja Haustein
Journal:  Accid Anal Prev       Date:  2013-12-01

5.  Investigation of drivers' behavior towards speeds using crash data and self-reported questionnaire.

Authors:  Hany M Hassan; Mohamed Shawky; Mohammad Kishta; Atef M Garib; Hussain A Al-Harthei
Journal:  Accid Anal Prev       Date:  2016-11-09

6.  Emotional states of drivers and the impact on speed, acceleration and traffic violations - a simulator study.

Authors:  Ernst Roidl; Berit Frehse; Rainer Höger
Journal:  Accid Anal Prev       Date:  2014-05-15

7.  Risk in our midst: Centrelines, perceived risk, and speed choice.

Authors:  Samuel G Charlton; Nicola J Starkey
Journal:  Accid Anal Prev       Date:  2016-07-22

8.  How do time pressured drivers estimate speed and time?

Authors:  Stéphanie Cœugnet; Holly Miller; Françoise Anceaux; Janick Naveteur
Journal:  Accid Anal Prev       Date:  2013-03-13

9.  Stress-related psychosocial factors at work, fatigue, and risky driving behavior in bus rapid transport (BRT) drivers.

Authors:  Sergio A Useche; Viviola Gómez Ortiz; Boris E Cendales
Journal:  Accid Anal Prev       Date:  2017-05-08

10.  New ideas on how drivers perceive speed emerge from the fog.

Authors:  Jody C Culham
Journal:  Elife       Date:  2012-10-30       Impact factor: 8.140

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  1 in total

1.  An Intelligent Driver Training System Based on Real Cars.

Authors:  Gui-Jiang Duan; Xin Yan; Hong Ma
Journal:  Sensors (Basel)       Date:  2019-02-02       Impact factor: 3.576

  1 in total

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