Rural Speed Safety Project for USDOT Safety Data Initiative: Findings and Outcome
This paper is an abridged version of a study that developed Safety Performance Functions (SPFs) by using geometric and operational characteristics that include speed measures. SPFs are the statistical “base” models used to estimate the average crash frequency for a facility type with specific base conditions. The research addressed two questions: 1) do different speed measures contribute to crash outcomes, and 2) is there more variability in speeds just prior to a crash? The research examined the prevailing operating speeds and weather data on a large scale and quantified how traffic speed and weather condition interact with roadway characteristics to affect the likelihood of crashes. The inclusion of speed information expanded upon the existing state of practice by incorporating exposure data as risk variable. The authors developed an interactive decision support tool that provides annual expected number of crashes with colored lines based on the number of crashes per year. The transferable framework of this tool was developed using open source R software and its ‘Shiny’ (an interactive web technology) framework.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/614107147
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Authors:
- Das, Subasish
- Geedipally, Srinivas
- Publication Date: 2020-9
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 38-42
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Serial:
- ITE Journal
- Volume: 90
- Issue Number: 9
- Publisher: Institute of Transportation Engineers (ITE)
- ISSN: 0162-8178
- Serial URL: https://www.ite.org/publications/ite-journal/
Subject/Index Terms
- TRT Terms: Crash rates; Data analysis; Decision support systems; Highway safety; Operating speed; Risk assessment; Rural areas; Rural highways; Speed data; Traffic crashes
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01755156
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 21 2020 9:52AM