Title

Potential Real-Time Indicators Of Sideswipe Crashes On Freeways

Abstract

This study investigates the real-time traffic factors associated with side-swipe crashes, including a surrogate measure of lane change and compares conditions for sideswipe and rear-end crashes on the basis of these factors. This study extends a previous experimental study of lane change by suggesting that a geometric mean of ratios of flows between adjacent lanes called the overall average flow ratio (OAFR) can be used to indicate the likelihood of sideswipe crashes given that a crash is likely to occur. OAFR was calculated for 5 to 10 min before crash occurrence at a location upstream of crash sites. Using 4-year crash and loop detector data on a 36.3-mi section of I-4 freeway in Orlando, Florida, the study found that OAFR was generally higher for sideswipe than rear-end crashes at a 95% confidence level. Analysis using logistic regression models showed that other traffic-related factors, such as the variation in flow and peak and off-peak periods, were also important factors correlated with side-swipe crashes. The findings in this study suggest that the model is potentially capable of predicting the risk of specific types of crashes, not only generic crashes, through use of real-time traffic flow data on freeways.

Publication Date

1-1-2006

Publication Title

Transportation Research Record

Issue

1953

Number of Pages

41-49

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.3141/1953-05

Socpus ID

33845340109 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33845340109

This document is currently not available here.

Share

COinS