An examination of the impact of five grade crossing safety factors on driver decision making
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2014-04-01
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Abstract:The authors applied signal detection theory to model the impact
of five grade-crossing safety factors to understand their impact
on driver decision making. The safety factors were improving
commercial motor vehicle (CMV) driver safety through federal
regulations, increasing locomotive conspicuity with alerting
lights, increasing locomotive conspicuity with reflectors,
increasing sight lines, and improving warning device reliability.
The authors estimated sensitivity and bias for eight warning
devices associated with each safety factor. The authors also
calculated the proportion of variance accounted for by each
safety factor and device type to examine the reliability of each
on grade-crossing safety. Driver decision making improved due
to the warning device type and the introduction of the safety
factor. Of the two, warning devices exerted the most impact
because they encouraged drivers to stop at grade crossings.
Regulations to improve CMV driver safety, alerting lights, sight
lines, and reflectors were generally equally effective in
improving grade-crossing safety. A comparison of the results
from the descriptive model to that produced by a more
traditional accident analysis suggest that examination of
accident frequency alone may minimize the impact of important
safety factors and emphasizes the need to consider accident
frequency with respect to human behavioral metrics.
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