详情

Improving the identification of curve-related crashes in the crash records information system (CRIS)

项目名称：	Improving the identification of curve-related crashes in the crash records information system (CRIS)
摘要：	About 38,000 fatal crashes occur every year in the United States, of which 25 percent are curve-related. According to Federal Highway Administration, the average crash rate for horizontal curves is about three times that of other highway segment types. Curves also play a significant role in Texas. From 2010 to 2017, about 9 percent of all crashes and 22 percent of fatal crashes were curve-related. However, a recent analysis revealed that Crash Records Information System (CRIS) may substantially mis-classify curve-related crashes. The CRIS variables missed about one-third of curve-related motorcycle crashes. In addition, the degree of mis-classification appears to vary by crash severity. Consequently, the role of curves and their safety impact are underestimated. Therefore, there is a need for better identification of curve-related crashes, methods for better understanding curve characteristics and their impact on crash risk and severity. In this research project, the research team will conduct comprehensive literature syntheses and critical review of curve-related crashes in CRIS; develop an effective methodological procedure that will be tested for improved identification of curve-related crashes and curve characteristics by using a small sample of data from databases such as the Geospatial Roadway Inventory Database (GRID), Texas roadway geometry, and CRIS database; and evaluate the performance of the developed procedure and analyze CRIS curve-related crash data to diagnose the reason of mis-classification.
状态：	Active
资金：	209,041
资助组织：	Texas Department of Transportation<==>Federal Highway Administration
项目负责人：	Adediwura, Jade
执行机构：	Center for Transportation Research
开始时间：	20200320
预计完成日期：	20220531
主题领域：	Data and Information Technology