Development of an Automated Methodological Procedure To Improve the Identification of Curve-Related Crashes in the Crash Records Information System (CRIS)

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

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Development of an Automated Methodological Procedure To Improve the Identification of Curve-Related Crashes in the Crash Records Information System (CRIS)

2022-09-01
By Xu, Yang ; Han, Zhe ; Murphy, Michael ; ...

File Language:

English

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Alternative Title:

Improving the Identification of Curve-Related Crashes in the Crash Records Information System (CRIS) [Project Title from Cover]
Creators:

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

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

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

Advanced Vehicle Control Systems Automated Vehicle Control CR-3 Crash Reports Crashes CRIS Curve-related Crash Misclassification Curve Identification Highway Curves Horizontal Curves Horizontal Supports Steering
Publication/ Report Number:

FHWA/TX-22/0-7050-1
Resource Type:

Manual
Geographical Coverage:

United States
Edition:

April 2020 – May 2022
Corporate Publisher:

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

Horizontal curves can improve the safety and comfort of a ride for drivers and passengers by preventing a sharp turn from one direction to another. However, the role of curves in vehicle crashes and their safety impacts are underestimated due to the substantial number of curve-related crash misclassifications in CRIS. Therefore, there is an urgent need to improve the identification of curve-related crashes in CRIS. To accomplish this, a thorough literature review was conducted to gain a better understanding of the characteristics of horizontal curves and their impacts on traffic crashes, and a comprehensive study of available data sources that contain reliable roadway geometry and inventory information was completed. Also examined were curve-related parameters that can provide meaningful information for the identification of curve-related crashes in the CRIS database. Then, a systematic methodological procedure was developed and tested to be effective in improving the identification of curve-related crashes in CRIS. Finally, based on the Texas Peace Officer’s Crash Report (CR-3), a thorough investigation was performed to improve our understanding of potential reasons for curve-related crash misclassifications in CRIS.
Format:

PDF
Funding:

0-7050
Collection(s):

Autonomous Vehicles US Transportation Collection
Main Document Checksum:

urn:sha-512:cd1f4ca4409ca816eb7ecf4d0ce94cb6e3d768da14dd32ca1a32a065e2e97ad6242b53f185ad30c8ab87639f6a604754cd002a0993f107fd25128e543af36187
Download URL:

https://rosap.ntl.bts.gov/view/dot/64509/dot_64509_DS1.pdf
File Type:

[PDF - 8.22 MB ]

File Language:

English

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