Developing a Proactive Fuzzy-Logic Model for Optimizing Winter Road Maintenance Measures in Cold Urban Areas Using Real-time Data
This research will introduce a method to comprehensively optimize winter road maintenance in urban areas where transportation quality can significantly be impacted by adverse climatic conditions. The research will aim at (1) detecting the exiting gaps in winter road maintenance, (2) maximizing the efficiency of the investments in maintaining the quality of transportation during the cold season, and, (3) contributing to the safety, comfort, and economy of the residents of the affected areas. The method is based on creating a proactive, rather than reactive, approach that can monitor road conditions, evaluate maintenance options using a fuzzy logic model, and prioritize preventive or maintenance measures to retain the safety and serviceability of urban roads during the cold season. (1) The proposed research will provide a comprehensive approach for optimizing maintenance measures and is expected to have the following outcomes: It enables decision-makers to make comparisons between different possible scenarios based on the criticality score for maintenance. (2) It prioritizes the maintenance measures for each facility based on the fuzzy score it has received after collecting data. This mitigates bias and human judgment in selecting between various alternatives. (3) The suggested solutions are cost-effective, sustainable and will not compromise the durability of the pavement.
Language
- English
Project
- Status: Active
- Funding: $80000
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Contract Numbers:
69A3551747110
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Pacific Northwest Transportation Consortium
University of Washington
More Hall Room 112
Seattle, WA United States 98195-2700 -
Project Managers:
Tafazzoli, Mohammadsoroush
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Performing Organizations:
Washington State University, Pullman
Civil & Environmental Engineering Department
PO Box 642910
Pullman, WA United States 99164-2910 -
Principal Investigators:
Tafazzoli, Mohammadsoroush
- Start Date: 20200816
- Expected Completion Date: 20220815
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Cost effectiveness; Frigid regions; Fuzzy logic; Highway maintenance; Optimization; Real time information; Urban areas; Winter maintenance
- Subject Areas: Data and Information Technology; Environment; Highways; Maintenance and Preservation; Planning and Forecasting;
Filing Info
- Accession Number: 01764679
- Record Type: Research project
- Source Agency: Pacific Northwest Transportation Consortium
- Contract Numbers: 69A3551747110
- Files: UTC, RIP
- Created Date: Feb 10 2021 2:38PM