Optimal Allocation of Protective Resources in Shortest-Path Networks
A game-theoretic approach for allocating protection resources among the components of a network so as to maximize its robustness to external disruptions is introduced in this article. The authors specifically consider shortest-path networks where disruptions may result in traffic flow delays through the affected components or even in the complete loss of some elements. The authors propose a multilevel program to identify the set of components to harden so as to minimize, after a worst-case disruption of some unprotected components, the length of the shortest path between a supply node and a demand node. To solve the multilevel problem to optimality, an implicit enumeration algorithm is then developed. The approach is streamlined by solving the lower-level interdiction problem heuristically at each enumeration tree node and by using some variable fixing rules to reduce lower-level problem dimension. A thorough computational investigation demonstrates that the proposed solution method is able to identify optimal protection strategies for significantly sized networks. The paper is concluded with a study of solution approach sensitivity to variations of the problem parameters such as the level of disruption and protective resources and the distribution of the arc lengths and delays.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/1767714
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Authors:
- Cappanera, Paola
- Scaparra, Maria Paola
- Publication Date: 2011-2
Language
- English
Media Info
- Media Type: Print
- Features: Bibliography; Figures; Tables;
- Pagination: pp 64-80
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Serial:
- Transportation Science
- Volume: 45
- Issue Number: 1
- Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
- ISSN: 0041-1655
- Serial URL: http://transci.journal.informs.org/
Subject/Index Terms
- TRT Terms: Game theory; Networks; Optimization; Resource allocation; Shortest path algorithms
- Uncontrolled Terms: Implicit enumeration algorithm; Multilevel networks; Sensitivity parameters; Supply and demand; Traffic network disruption
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I70: Traffic and Transport;
Filing Info
- Accession Number: 01333387
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 21 2011 2:13PM