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Comparison of identification and ranking methodologies for speed-related crash locations.

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English


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  • Abstract:
    Over 60,000 crashes were reported on the Oregon state highway system from 2000–2002. Of these, speed was a primary ; causal factor in 27% of total crashes and 36% of all fatal crashes. Excessive speed is a driver behavior that can be ; influenced by a wide variety of countermeasures. However, different methods for analyzing crash data often result in ; setting different priorities for safety improvements. The state of Oregon currently does not have a developed ; methodology for prioritizing locations for review of countermeasure deployment. When making decisions about ; countermeasure deployment with limited resources, it is important they be allocated to locations that will result in the ; greatest impact. The objective of this study was to improve the procedures used to select locations for speed-related ; safety countermeasures. The report includes a literature review focused on the relationship between speed and crashes, ; as well as past research on speed reduction techniques. An analysis of speed-related crash data indicated that a number ; of variables such as ice, curves, and others are overrepresented in speed crashes. Based on these findings, the study then ; developed and compared alternate ranking methods for speed/ice crash locations, including a unique refinement of the ; rate quality control (RQC) method, using climate data that helps identify road segments that exhibit statistically ; significant high speed/ice crash patterns. The results of the method were highlighted with a case study of identified ; highway sections using a new zonal RQC. To demonstrate the feasibility of this analysis technique, the top 20 sites ; identified by the refined screening technique were reviewed for possible countermeasures.
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    Filetype[PDF - 9.48 MB]
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    urn:sha-512:3b4676af13100f288effc7f28d88960f49e279c14a1e8f8ee2c83d4195938302901a94b779b4cf0dfa1b95becb754e445e0ff44c906a25ca2c2d406cbefe024d
File Language:
English
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