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Title: Assessing the Predictability of Short Segment Crash Analysis in the State of South Carolina
Accession Number: 01764277
Record Type: Component
Abstract: 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.
Supplemental Notes: This paper was sponsored by TRB committee ACS20 Standing Committee on Safety Performance Analysis.
Report/Paper Numbers: TRBAM-21-04402
Language: English
Corporate Authors: Transportation Research BoardAuthors: Iqbal, Adika MammadrahimliSarasua, WayneFamili, AfshinOgle, Jennifer HarperDavis, William JKumar, DeveshBasnet, Saurabh BikramAdjei, EmmanuelPagination: 17p
Publication Date: 2021
Conference:
Transportation Research Board 100th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; Photos; References; Tables
TRT Terms: Identifier Terms: Geographic Terms: Subject Areas: Highways; Planning and Forecasting; Safety and Human Factors
Source Data: Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-04402
Files: TRIS, TRB, ATRI
Created Date: Dec 23 2020 11:24AM
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