Literature DB >> 23332180

Reaction times of young alcohol-impaired drivers.

Zoi Christoforou1, Matthew G Karlaftis, George Yannis.   

Abstract

Young individuals who drive under the influence of alcohol have a higher relative risk of crash involvement; as such, the literature has extensively investigated the factors affecting such involvement through both post-accident surveys and simulator experiments. The effects of differentiated breath alcohol concentrations (BrAC) on young driver behavior, however, have been largely unaddressed, mainly as a result of the difficulty in collecting the necessary data. We explore young driver behavior under the influence of alcohol using a driving simulator experiment where 49 participants were subjected to a common pre-defined dose of alcohol consumption. Comparing reaction times before and after consumption allows for interesting insights and suggestions regarding policy interventions. As expected, the results indicate that increased reaction times before consuming alcohol strongly affect post-consumption reaction times, while increased BrAC levels prolong reaction times; a 10% increase in BrAC levels results in a 2% increase in reaction time. Interestingly, individuals with faster alcohol absorption times perform better regardless of absolute BrAC level, while recent meals lead to higher reaction times and regular exercising to lower.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Alcohol; Impaired driving; Random-parameter regression; Reaction times; Simulator

Mesh:

Substances:

Year:  2013        PMID: 23332180     DOI: 10.1016/j.aap.2012.12.030

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


  6 in total

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2.  Evaluation of Driver's Reaction Time Measured in Driving Simulator.

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4.  Reacting while moving: influence of right limb movement on left limb reaction.

Authors:  Deanna M Kennedy; Chaoyi Wang; Charles H Shea
Journal:  Exp Brain Res       Date:  2013-07-18       Impact factor: 1.972

5.  Response biases: the influence of the contralateral limb and head position.

Authors:  Deanna M Kennedy; Sara Safdari; Charles H Shea
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6.  An Artificial Neural Network for Movement Pattern Analysis to Estimate Blood Alcohol Content Level.

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  6 in total

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