Intersection crashes cost the nation more than $40 billion annually, account for more than one-fifth of all highway crash fatalities nationally, and totaled almost 75,000 in the Virginia Department of Transportation's (VDOT) Northern Virginia District for the period 2001 through 2006. Although VDOT maintains several databases containing more than 170 data elements with detailed crash, driver, and roadway attributes, it was not clear to users of these databases how these data elements could be used to identify causal factors for these intersection crashes for two reasons: (1) the quality of some of the data elements was imperfect, and (2) and random variation is inherent in crashes. This study developed an approach to address these two issues. To address the first issue, the completeness and accuracy of the 179 data elements that comprise the VDOT CRASHDATA database were assessed. To address the second issue, classification trees and crash estimation models (CEMs) were developed. The trees showed that specific causal factors, such as the approach alignment or surface condition, successfully indicate whether a given crash was a rear-end or angle crash.
Causal Factors for Intersection Crashes in Northern Virginia. Final Report
2010
63 pages
Report
Keine Angabe
Englisch
Understanding Causality of Intersection Crashes: Case Study in Virginia
Online Contents | 2011
|Factors Contributing to the Severity of Intersection Crashes
Online Contents | 2007
|Understanding Causality of Intersection Crashes
Transportation Research Record | 2011
|Causal Insights into Speeding Crashes
ASCE | 2024
|