Developing a Proactive Fuzzy-Logic Model for Optimizing Winter Road Maintenance Measures in Cold Urban Areas Using Real-Time Data
This research introduces a method for comprehensively optimizing winter road maintenance in urban areas where transportation quality can significantly be affected by adverse climatic conditions. The research is expected to provide help with the following: 1) detecting existing gaps in winter road maintenance, 2) maximizing the efficiency of investments in maintaining the quality of transportation during the cold season, and, 3) improving the safety, comfort, and economy of the residents of affected areas.
- Dataset URL:
- Record URL:
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Supplemental Notes:
- This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program. Supporting dataset available at: https://doi.org/10.7910/DVN/FHGNWV
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Corporate Authors:
Pacific Northwest Transportation Consortium
University of Washington
More Hall Room 112
Seattle, WA United States 98195-2700Office of the Assistant Secretary for Research and Technology
Department of Transportation
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Authors:
- Tafazzoli, Tommy
- 0000-0003-4946-3666
- Publication Date: 2022-10-31
Language
- English
Media Info
- Media Type: Digital/other
- Features: Appendices; Figures; Maps; References; Tables;
- Pagination: 82p
Subject/Index Terms
- TRT Terms: Highway maintenance; Optimization; Real time information; Urban areas; Winter maintenance
- Subject Areas: Highways; Maintenance and Preservation; Operations and Traffic Management;
Filing Info
- Accession Number: 01882114
- Record Type: Publication
- Report/Paper Numbers: 2020-S-WSU-3
- Contract Numbers: 69A3551747110
- Files: UTC, TRIS, ATRI, USDOT
- Created Date: May 16 2023 4:53PM