@article{ref1,
title="Effects of signalization at rural intersections considering the elderly driving population",
journal="Transportation research record",
year="2019",
author="Yue, Lishengsa and Abdel-Aty, Mohamed and Lee, Jaeyoung and Farid, Ahmed",
volume="2673",
number="2",
pages="743-757",
abstract="The main objective of this study is to quantify the safety impacts of signalization at Florida's rural three-leg and four-leg stop-controlled intersections by estimating crash modification factors. The intersections are those in which stop signs are provided for the minor approaches or all-way stop-controlled intersections. The crash modification factors (CMF) are estimated using the cross-sectional method. Generalized linear models (GLM) and multivariate adaptive regression spline models (MARS) are employed with four years of Florida crash data. The K-nearest neighbor (KNN) and K-means clustering algorithms are implemented to identify the comparison sites which are sites having similar characteristics as those of the converted intersections. Furthermore, the quasi-induced exposure method is used to evaluate separately the safety effects of signalization for elderly and non-elderly drivers. According to the results, signalization contributes to an increase in property damage only (PDO) and rear-end crashes. In addition, elderly drivers are more at risk of being involved in such crashes than non-elderly drivers. In particular, at rural four-leg two-way stop-controlled intersections, signalization decreases crash severity, and a greater percentage of the decrease is observed for the elderly drivers than non-elderly especially when the intersection has a high level of major-road average annual daily traffic (AADT) and elderly driver proportion. This study also demonstrates that the MARS model shows a better model fit than the GLM model due to its strength in capturing nonlinear relationships and interaction effects among variables. This study's findings have implications for both practitioners and researchers.<p /> <p>Language: en</p>",
language="en",
issn="0361-1981",
doi="10.1177/0361198119825834",
url="http://dx.doi.org/10.1177/0361198119825834"
}