0-7050: Improving the Identification of Curve-Related Crashes in the Crash Records Information System (CRIS)  [Project Summary]

Zhang, Zhanmin; Xu, Yang; Han, Zhe; Murphy, Michael R.

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0-7050: Improving the Identification of Curve-Related Crashes in the Crash Records Information System (CRIS) [Project Summary]

2022-05-31
By Zhang, Zhanmin ; Xu, Yang ; Han, Zhe

File Language:

English

Details

Creators:

Zhang, Zhanmin ; Xu, Yang ; Han, Zhe ; Murphy, Michael R.
Corporate Creators:

University of Texas at Austin. Center for Transportation Research
Corporate Contributors:

Texas. Dept. of Transportation. Research and Technology Implementation Office ; United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:
Publication/ Report Number:

0-7050-1
Resource Type:

Brief
Geographical Coverage:

United States
Corporate Publisher:

University of Texas at Austin. Center for Transportation Research
Abstract:

The research team started with a thorough review of horizontal curves and their impacts on traffic crashes. This review encompassed the following topics: characteristics of horizontal curves; impacts of horizontal curves on crash risk, frequency, and severity; and factors affecting crashes on horizontal curves. A comprehensive study was then conducted to investigate available data sources that contain reliable roadway geometry and inventory information. Curve-related parameters that can provide information the CRIS database were also examined. Then, a systematic data analysis was performed to identify the patterns and characteristics of curve-related crash misclassification in the CRIS database. Next, a methodological procedure to improve the identification of curve-related crashes was developed, automated, and evaluated. Finally, using the Texas Peace Officer’s Crash Reports (CR-3) of misclassified crashes, the research team comprehensively investigated potential causes for curve-related crash misclassifications in CRIS.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/64510/dot_64510_DS1.pdf
File Type:

[PDF - 267.13 KB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:5e1c5e9088394dc47a7e9ea2357e9e127fb8cdf9d7e9538e16df6caf3c84c7f3

File Language:

English

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