@article{ref1,
title="Development of visual model for exploring relationship between nighttime driving behavior and roadway visibility features",
journal="Accident reconstruction journal",
year="2013",
author="Gibbons, Ronald B. and Edwards, Christopher J. and Bhagavathula, Rajaram and Owens, D. Alfred",
volume="23",
number="6",
pages="11-16",
abstract="In this article, the authors examine the connection between driver safety and the nighttime visual environment. They develop a model framework called the Dynamic Driver Visual Model (DDVM), which consists of a system of rules, statistics, and expectations that can define how a driver collects visual information from the environment. Data is collected on how information from signage, objects, lighting, pavement markings, and other vehicles can moderate a driver's visual search of the roadway environment and logistic regression analyses are performed on the data. The results of the study indicate that various target and visibility elements have nonlinear effects on driver detection performance. (TRID)<p />",
language="en",
issn="1057-8153",
doi="",
url="http://dx.doi.org/"
}