The vertex cover game: Application to transport networks
Vasily V. Gusev
Omega, 2020, vol. 97, issue C
Abstract:
As communications are progressing, transport networks need to be monitored, more specifically, camera surveillance of violations is needed. Standards are being developed on how to install cameras, and the question of efficiently distributing surveillance devices across the road network ensue. This task is addressed in this paper by using the methods of the cooperative game theory. The vertex cover game is introduced, and its properties are studied. Since surveillance cameras are to cover all areas of the network, the characteristic function depends on the vertex covers of the graph. The Shapley–Shubik index is used as the measure of centrality. The Shapley–Shubik index is shown to be efficient in a vertex cover game for the allocation of cameras in a transport network. Proceeding from the Shapley–Shubik indices calculated in this study, recommendations were given for the allocation of surveillance cameras in a specific transport network in a district of the City of Petrozavodsk, Russia.
Keywords: Shapley–Shubik index; Vertex cover; Minimal winning coalitions; Simple cooperative games (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0305048319303421
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jomega:v:97:y:2020:i:c:s0305048319303421
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.omega.2019.08.009
Access Statistics for this article
Omega is currently edited by B. Lev
More articles in Omega from Elsevier
Bibliographic data for series maintained by Catherine Liu ().