Document Detail


Detection of emergency vehicles: driver responses to advance warning in a driving simulator.
MedLine Citation:
PMID:  18354977     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: This research evaluated the effects of an advance warning device (AWD) on the safety of driver interactions with emergency vehicles (EVs). The AWD was intended to provide drivers with advance warning of an approaching on-call EV via visual and auditory warnings when the EV was within a 300- to 400-m radius. BACKGROUND: Research suggests that drivers can experience difficulty accurately detecting the distance and direction of approaching on-call EV. In-vehicle technology has not previously been explored as a means of overcoming the limitations of existing EV lights and sirens and improving driver detection of EV. METHOD: An experimental study using an advanced driving simulator examined the effects of the AWD on driving performance in a range of circumstances in which real-world EV crashes and near-misses commonly occur. Each event contained a combination of scenario type (adjacent lane, turning across, car following) and warning condition (control, standard, advance). RESULTS: Data from 22 participants were collected, including measures of speed, braking, and visual scanning. For adjacent-lane and turning-across events, the AWD was associated primarily with reductions in mean speed. The AWD resulted in an earlier lane change to clear a path for the EV in the car-following event. CONCLUSION: The reduction in speed observed was a positive finding, given the relationship between impact speed and injury severity. Response priming emerged as the mechanism underpinning these effects. Application: Response priming may result in safety benefits in other settings when an advisory warning is presented before the threat can be perceived.
Authors:
Michael G Lenné; Thomas J Triggs; Christine M Mulvihill; Michael A Regan; Bruce F Corben
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Human factors     Volume:  50     ISSN:  0018-7208     ISO Abbreviation:  Hum Factors     Publication Date:  2008 Feb 
Date Detail:
Created Date:  2008-03-21     Completed Date:  2008-04-24     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0374660     Medline TA:  Hum Factors     Country:  United States    
Other Details:
Languages:  eng     Pagination:  135-44     Citation Subset:  IM; S    
Affiliation:
Monash University Accident Research Centre, Building 70, Monash University, 3800, Victoria, Australia. michael.lenne@muarc.monash.edu.au
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MeSH Terms
Descriptor/Qualifier:
Accidents, Traffic / prevention & control*
Adult
Ambulances*
Automobile Driving*
Female
Humans
Male
Middle Aged
Protective Devices*
Questionnaires
Task Performance and Analysis
User-Computer Interface
Victoria

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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