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Author:
Hans, Zachary author Iowa State University
Title:
Safety and Mobility Impacts of Winter Weather --Phase 3 Zachary Hans, Konstantina Gkritza, Mohammad Shaheed, and Inya Nlenanya.
Publisher:
Institute for TransportationIowa State University
Copyright Date:
2014
Description:
xiv, 67 pages (86 pages in PDF file) Illustrations, (chiefly color)
Subject:
Roads--Snow and ice control--Iowa.
Interstate 80.
Interstate 35.
Accident prone locations
Crash risk forecasting
Traffic safety.
Highway safety
Interstate highways
Mobility
Performance measurement
Traffic safety
Weather conditions
Winter
Winter maintenance
Iowa.
Other Authors:
Nlenanya, Inya author Iowa State University
Hawkins, Neal author Iowa State University
Gkritza, Konstantina author Iowa State University
Shaheed, Mohammad author Iowa State University
Iowa State University. Center for Transportation Research and Education, Center for Transportation Research and Education, performing body.
Iowa. Department of Transportation, sponsoring body.
Mid America Transportation Center, sponsoring body.
United States. Research and Innovative Technology Administration, Research and Innovative Technology Administration, sponsoring body.
United States. Federal Highway Administration, sponsoring body.
Notes:
"September 2014" -- Technical Report Documentation Page Includes bibliographical references (pages 65-67)
Scope Note:
Final report.
Summary:
Highway agencies spend millions of dollars to ensure safe and efficient winter travel. However, the effectiveness of winter-weather maintenance practices on safety and mobility are somewhat difficult to quantify. Safety and Mobility Impacts of Winter Weather - Phase 1 investigated opportunities for improving traffic safety on state-maintained roads in Iowa during winter-weather conditions. In Phase 2, three Iowa Department of Transportation (DOT) high-priority sites were evaluated and realistic maintenance and operations mitigation strategies were also identified. In this project, site prioritization techniques for identifying roadway segments with the potential for safety improvements related to winter-weather crashes, were developed through traditional naive statistical methods by using raw crash data for seven winter seasons and previously developed metrics. Additionally, crash frequency models were developed using integrated crash data for four winter seasons, with the objective of identifying factors that affect crash frequency during winter seasons and screening roadway segments using the empirical Bayes technique. Based on these prioritization techniques, 11 sites were identified and analyzed in conjunction with input from Iowa DOT district maintenance managers and snowplow operators and the Iowa DOT Road Weather Information System (RWIS) coordinator.
OCLC:
(OCoLC)900899086
Locations:
IAOX771 -- State Library of Iowa (Des Moines)

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