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Research article
First published online January 1, 2009

Evaluation of Effectiveness of Stop Sign Treatments at Highway–Railroad Grade Crossings

Abstract

The safety benefit of stop sign treatments at passive highway–rail crossings has been a subject of research for many years. The objective of this study is to assess the effectiveness of the stop sign treatment on crossing safety. Using the FRA database, the research focused on 26 years of vehicle–train accident history in the United States from 1980 through 2005. A before-and-after and cross-sectional statistical analysis was conducted for 7,394 public highway–railroad grade crossings that were upgraded from being controlled only by crossbucks to stop signs, without other traffic control devices or automatic countermeasures. The study found that accident rates based on annual accident frequency per 1,000 crossings were significantly higher during the period when crossings were controlled only by crossbucks than when they were controlled by stop signs. Further, this study developed negative binomial accident prediction models for paved and unpaved highway–rail grade crossings that included the effect of stop sign treatment. Taking account of specific attributes of crossings controlled only by crossbucks, decision makers and traffic engineers can use the models to examine the accident risks at crossings and assess the potential effectiveness of stop sign treatment.

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Article first published online: January 1, 2009
Issue published: January 2009

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© 2009 National Academy of Sciences.
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Authors

Affiliations

Hal Millegan
Civil Engineering Department, Montana Tech of the University of Montana, Science–Engineering Building 315, 1300 West Park Street, Butte, MT 59701.
Xuedong Yan
Center for Transportation Research, University of Tennessee, Suite 309, Conference Center Building, Knoxville, TN 37996-4133.
Stephen Richards
Center for Transportation Research, University of Tennessee, Suite 309, Conference Center Building, Knoxville, TN 37996-4133.
Lee Han
Center for Transportation Research, University of Tennessee, Suite 309, Conference Center Building, Knoxville, TN 37996-4133.

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