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Article details
Title
Analysis of naturalistic driving videos of fleet services drivers to estimate driver error and potentially distracting behaviors as risk factors for rear-end versus angle crashes
Published in
Traffic Injury Prevention, June 2016
DOI 10.1080/15389588.2015.1118655
Pubmed ID
Authors
Abstract

Objective To estimate the prevalence and odds of fleet driver errors and potentially distracting behaviors just prior to rear-end versus angle crashes. Methods Analysis of naturalistic driving videos among fleet services drivers for errors and potentially distracting behaviors occurring in the six seconds before crash impact. Categorical variables were examined using the Pearson Chi-square test and continuous variables, such as eyes-off-road time, were compared using the Student's t-test. Multivariable logistic regression was used to estimate the odds of a driver error or potentially distracting behavior being present in the seconds before rear-end versus angle crashes. Results Of the 229 crashes analyzed, 101 (44%) were rear-end and 128 (56%) were angle crashes. Driver age, gender and presence of passengers did not differ significantly by crash type. Over 95% of rear-end crashes involved inadequate surveillance compared to only 52% of angle crashes (<0.0001). Almost 65% of rear-end crashes involved a potentially distracting driver behavior while less than 40% of angle crashes involved these behaviors (p<0.01). On average, drivers spent 4.4 seconds with their eyes off the road while operating or manipulating their cell phone. Drivers in rear-end crashes were at 3.06 (95% CI: 1.73-5.44) times adjusted higher odds of being potentially distracted than those in angle crashes. Conclusions Fleet driver driving errors and potentially distracting behaviors are frequent. This analysis provides data to inform safe driving interventions for fleet services drivers. Further research is needed in effective interventions to reduce the likelihood of driver distracting behaviors and errors which may potentially reducing crashes.

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Mendeley demographics

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The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 5 12%
Student > Master 5 12%
Other 4 10%
Lecturer 3 7%
Student > Doctoral Student 3 7%
Other 7 17%
Unknown 14 34%
Readers by discipline
Readers by discipline Count As %
Engineering 10 24%
Nursing and Health Professions 4 10%
Medicine and Dentistry 4 10%
Social Sciences 3 7%
Business, Management and Accounting 1 2%
Other 3 7%
Unknown 16 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 June 2017.
All research outputs
#21,157,205
of 25,988,468 outputs
Outputs from Traffic Injury Prevention
#1
of 1 outputs
Outputs of similar age
#274,915
of 355,480 outputs
Outputs of similar age from Traffic Injury Prevention
#18
of 29 outputs
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