Assessing the Predictability of Short Segment Crash Analysis in the State of South Carolina
The main objective of this research is to evaluate the predictability of a short segment peak search method with lengths of less than 0.1 miles for the statewide screening of midblock crash locations. Three different approaches (Based on Highway Safety Manual (HSM) Safety Performance Functions (SPFs) are used to evaluate the short segment method. These approaches include state-specific SPFs, Driveway SPFs (using only Average Annual Daily Traffic (AADT), and driveway SPFs with adjusted Crash Modification Factors (CMFs). Frequency-based identification of short segments stratified by six different roadway types (rural two-lane undivided *R2U), rural four-lane divided (R4D), urban two lane undivided (U2U), urban four-lane divided (U4D), urban 2+ two-way left-turn lane (U3T), and urban 4+ two-way left-turn lane (U5T)) has been compared with three SPF based screening methods to determine segments with the highest excess predicted average crash frequency. For short segment sites with highest crash frequencies (3 for U3T, U4D, and U2U; 4 for U5T and 2 for R4D and R2U), the comparison showed similar results (Top 90% agreement). Thus, should insufficient data be available to conclude SPFs, a frequency-based approach will likely identify the top sites. While this method works relatively well with top sites, the reliability of this method will wane with lower-ranked sites.
- Record URL:
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Supplemental Notes:
- This paper was sponsored by TRB committee ACS20 Standing Committee on Safety Performance Analysis.
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Corporate Authors:
Transportation Research Board
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Authors:
- Iqbal, Adika Mammadrahimli
- Sarasua, Wayne
- Famili, Afshin
- Ogle, Jennifer Harper
- Davis, William J
- Kumar, Devesh
- Basnet, Saurabh Bikram
- Adjei, Emmanuel
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Conference:
- Transportation Research Board 100th Annual Meeting
- Location: Washington DC, United States
- Date: 2021-1-5 to 2021-1-29
- Date: 2021
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Photos; References; Tables;
- Pagination: 17p
Subject/Index Terms
- TRT Terms: Algorithms; Crash analysis; Crash locations; Crash modification factors; Crash risk forecasting; Driveways; Geometric segments; Mathematical prediction; Traffic safety
- Identifier Terms: Highway Safety Manual
- Geographic Terms: South Carolina
- Subject Areas: Highways; Planning and Forecasting; Safety and Human Factors;
Filing Info
- Accession Number: 01764277
- Record Type: Publication
- Report/Paper Numbers: TRBAM-21-04402
- Files: TRIS, TRB, ATRI
- Created Date: Feb 4 2021 11:00AM