Study Details

Study Title: Effects of Signalization at Rural Intersections Considering the Elderly Driving Population

Authors: Yue et al.

Publication Date: JAN, 2019

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 CMFs 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 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 the safety effects of signalization for elderly and non-elderly drivers, separately. According to the results, signalization contributes to an increase in 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 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 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.

Study Citation: Yue, Abdel-Aty, Lee and Farid. "Effects of Signalization at Rural Intersections Considering the Elderly Driving Population". Presented at the 98th Annual Meeting of the Transportation Research Board, Paper No. 19-03826, Washington, D.C., (2019).

Related Citations: Yue, L., M. Abdel-Aty, J. Lee and A. Farid. "Effects of Signalization at Rural Intersections Considering the Elderly Driving Population". Transportation Research Record, Vol 2673 (2), pp. 743-757. Transportation Research Board of the National Academies of Science, Washington, D.C., (2019).


CMFs Associated With This Study

Category: Intersection traffic control

Countermeasure: Install a traffic signal

CMF CRF(%) Quality Crash Type Crash Severity Roadway Type Area Type
CMF Equation 4 Stars All O Not specified Rural
CMF Equation 4 Stars All O Not specified Rural
CMF Equation 3 Stars All K,A,B Not specified Rural
CMF Equation 3 Stars All K,A,B Not specified Rural
CMF Equation 4 Stars Rear end All Not specified Rural
CMF Equation 4 Stars Rear end All Not specified Rural
CMF Equation 3 Stars Angle All Not specified Rural
CMF Equation 3 Stars Rear end K,A,B Not specified Rural
CMF Equation 3 Stars Rear end K,A,B Not specified Rural
CMF Equation 3 Stars Angle K,A,B Not specified Rural
CMF Equation 3 Stars Angle K,A,B Not specified Rural
CMF Equation 4 Stars All O Not specified Rural
CMF Equation 4 Stars All O Not specified Rural
CMF Equation 4 Stars Rear end All Not specified Rural
CMF Equation 4 Stars Rear end All Not specified Rural
CMF Equation 4 Stars All O Not specified Rural
CMF Equation 4 Stars Rear end All Not specified Rural
CMF Equation 4 Stars Rear end All Not specified Rural