Braley, K., & Worthen, C. (2017). Using a safety forecast model to calculate future safety metrics (Report No. UT-17.10). Utah. Dept. of Transportation. Research Division. https://rosap.ntl.bts.gov/view/dot/32325
Braley, Kordel and Chad Worthen. Using a safety forecast model to calculate future safety metrics. Report no. UT-17.10. Utah. Dept. of Transportation. Research Division, 2017. https://rosap.ntl.bts.gov/view/dot/32325.
Braley, Kordel, and Chad Worthen Using a safety forecast model to calculate future safety metrics. Utah. Dept. of Transportation. Research Division, 2017, Report no. UT-17.10, ROSA P. https://rosap.ntl.bts.gov/view/dot/32325.
This research sought to identify a process to improve long-range planning prioritization by using forecasted
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safety metrics in place of the existing Utah Department of Transportation Safety Index—a metric based on historical
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crash data. The research team developed a Safety Forecast Model using Highway Safety Manual Safety
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Performance Functions and Crash Modification Factors. The research team obtained existing roadway
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characteristics that served as inputs for the Safety Forecast Model from uPlan. The research team also collected
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future condition data—such as forecast volumes and lanes—from the Utah Statewide Travel Model, a travel demand
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forecasting model. The Safety Forecast Model compared crashes predicted based on the current 2015–2040 UDOT
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Long-Range Plan (LRP) Build scenario to crashes predicted based on the No-Build scenario. The research team
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determined, through a case study of 15 LRP widening projects, that the project prioritization ranking changes if the
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ranking considers future safety impacts rather than relying solely on historical crash data. The research team also
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determined that the Safety Forecast Model could be used to recommend safety projects and perform systemic safety
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analyses.
Braley, K., & Worthen, C. (2017). Using a safety forecast model to calculate future safety metrics (Report No. UT-17.10). Utah. Dept. of Transportation. Research Division. https://rosap.ntl.bts.gov/view/dot/32325
Braley, Kordel and Chad Worthen. Using a safety forecast model to calculate future safety metrics. Report no. UT-17.10. Utah. Dept. of Transportation. Research Division, 2017. https://rosap.ntl.bts.gov/view/dot/32325.
Braley, Kordel, and Chad Worthen Using a safety forecast model to calculate future safety metrics. Utah. Dept. of Transportation. Research Division, 2017, Report no. UT-17.10, ROSA P. https://rosap.ntl.bts.gov/view/dot/32325.
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ensure public access to scientific information.
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