Evaluation of the safety effectiveness of lane-departure countermeasures on two-lane undivided roadways using crash modification factors. Issue 4 (4th July 2019)

• Record Type: Journal Article
• Authors: Galgamuwa, Uditha; Dissanayake, Sunanda
• Is Part Of: Journal of transportation safety & security. Volume 11:Issue 4(2019)
• Page Start: 377
• Page End: 397
• Publication Date: 2019-07-04
• Subjects: cross-sectional method -- case-control method -- lane-departure crashes -- countermeasure evaluation -- crash modification factors; Transportation -- United States -- Safety measures -- Periodicals; Transportation -- Security measures -- United States -- Periodicals; Transportation -- Safety measures; Transportation -- Security measures; United States; Periodicals; 353.9805
• DOI: 10.1080/19439962.2017.1419523
• Languages: English
• ISSNs: 1943-9970

Abstract

ABSTRACT: This study investigates the safety effectiveness of commonly used lane-departure countermeasures on Kansas two-lane rural undivided road segments; 2-ft paved shoulders, centerline rumble strips, shoulder rumble strips, and shoulder & centerline rumble strips using crash modification factors (CMFs). Cross-sectional and case-control methods that are based on generalized linear regression assuming a negative binomial error structure and logistic regression models were used respectively. CMFs were calculated for all lane-departure and fatal and injury lane-departure crashes for tangent and curved road segments separately. Model validation of cross-sectional models was carried out using the mean of the absolute residuals and mean squared error (MSE). Classification tables were used to validate the models developed for the case-control method. Cross-sectional and case-control methods showed that all the countermeasures considered in this study were effective in reducing all lane-departure and fatal and injury lane-departure crashes except shoulder rumble strips on curved road segments for all lane-departure crashes. Even though similar results were obtained from both methods, CMFs developed using the cross-sectional method demonstrated a narrower range than the case-control method, indicating that the results from the cross-sectional method can be considered as more accurate and reliable than those from the case-control method.