Genetically Optimized Fuzzy Resource Allocation Model for Improving Road Safety in Interurban Highway Networks
In the current study, optimal strategies of budget allocation for network safety improvement are identified by formulating and solving a possibilistic combinatorial programming problem for a pre-defined set of safety black spots. Specifically, a resource allocation programming problem is constructed, aiming on selecting the locations subset such as to maximize total network safety performance. By adopting the proposed optimization framework, infrastructure management decision-making process is further supported by incorporating experts' knowledge/judgment within an optimization mechanism, adding to the robustness and realism of the resulted optimal interventions schedule. The proposed possibilistic problem setup is tackled by suitable transformations of a hybrid stochastic approximation optimization routine, namely, Genetic Algorithm. Computational results from the proposed framework implementation onto a part of realistic highways network are exhibiting the ability of an optimization framework to maximize the invested capital performance (by utilizing almost 30% of the total capital required for upgrading all black spots, a reduction of nearly 73% of the total accidents cost is eliminated). Finally evidence is provided on the role of uncertainty in budgetary managerial decisions. In particular, for the dataset used, a difference of 6% has been identified (in favour of the confidence of the invested capital performance in reducing casualties) in the composition of the selected locations, an element of significant importance for realistic applications.
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Supplemental Notes:
- This paper was sponsored by TRB committee ANB10 Transportation Safety Management.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Dimitriou, Loukas
- Abdel-Aty, Mohamed A
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Conference:
- Transportation Research Board 92nd Annual Meeting
- Location: Washington DC, United States
- Date: 2013-1-13 to 2013-1-17
- Date: 2013
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 21p
- Monograph Title: TRB 92nd Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Genetic algorithms; High risk locations; Highway safety; Investments; Optimization; Resource allocation
- Uncontrolled Terms: Road networks
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I71: Traffic Theory; I85: Safety Devices used in Transport Infrastructure;
Filing Info
- Accession Number: 01476983
- Record Type: Publication
- Report/Paper Numbers: 13-3646
- Files: TRIS, TRB, ATRI
- Created Date: Mar 28 2013 8:59AM