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Conference Paper: Cooperative game formulations for measuring network reliability

TitleCooperative game formulations for measuring network reliability
Authors
Issue Date2011
Citation
The 90th Annual Meeting of the Transportation Research Board (TRB), Washington, D.C., 23-27 January 2011. How to Cite?
AbstractTraditionally, game-theoretic approaches to measuring transport network reliability have relied on the outcome of a game played between on the one hand users who seek minimum cost routes, and on the other hand, one or more evil entities or demons that seek to maximize the total expected network cost to the users by damaging links in the network. As the demons are assumed to be non-cooperative, this approach has been criticized that it cannot produce the worst-case solution for reliability analysis, contradicting the original purpose of adopting game-theoretic approaches. In this paper, two cooperative game formulations, the Stackelberg-Nash formulation and the partial-cooperative Nash formulation, are proposed to determine travel cost reliability. Their relationships are analyzed and their properties are examined. This paper also investigates under what condition(s) the classical non-cooperative demon behavior can lead to the worst-case solution. Numerical studies are provided to demonstrate (i) the effects of the number of coalitions formed by demons on total network expected cost and network/Origin-Destination (OD) travel cost reliability; (ii) the paradoxical phenomena that if one adds a road to a network then all the travelers may be worse off in terms of expected network travel cost and network travel cost reliability respectively, and (iii) the possibility of the classical game-theoretic approach of overestimating network/OD travel cost reliability.
DescriptionPaper no. P11-0399
Persistent Identifierhttp://hdl.handle.net/10722/136209

 

DC FieldValueLanguage
dc.contributor.authorSzeto, WYen_US
dc.date.accessioned2011-07-27T02:04:42Z-
dc.date.available2011-07-27T02:04:42Z-
dc.date.issued2011en_US
dc.identifier.citationThe 90th Annual Meeting of the Transportation Research Board (TRB), Washington, D.C., 23-27 January 2011.en_US
dc.identifier.urihttp://hdl.handle.net/10722/136209-
dc.descriptionPaper no. P11-0399-
dc.description.abstractTraditionally, game-theoretic approaches to measuring transport network reliability have relied on the outcome of a game played between on the one hand users who seek minimum cost routes, and on the other hand, one or more evil entities or demons that seek to maximize the total expected network cost to the users by damaging links in the network. As the demons are assumed to be non-cooperative, this approach has been criticized that it cannot produce the worst-case solution for reliability analysis, contradicting the original purpose of adopting game-theoretic approaches. In this paper, two cooperative game formulations, the Stackelberg-Nash formulation and the partial-cooperative Nash formulation, are proposed to determine travel cost reliability. Their relationships are analyzed and their properties are examined. This paper also investigates under what condition(s) the classical non-cooperative demon behavior can lead to the worst-case solution. Numerical studies are provided to demonstrate (i) the effects of the number of coalitions formed by demons on total network expected cost and network/Origin-Destination (OD) travel cost reliability; (ii) the paradoxical phenomena that if one adds a road to a network then all the travelers may be worse off in terms of expected network travel cost and network travel cost reliability respectively, and (iii) the possibility of the classical game-theoretic approach of overestimating network/OD travel cost reliability.-
dc.languageengen_US
dc.relation.ispartofAnnual Meeting of the Transportation Research Boarden_US
dc.titleCooperative game formulations for measuring network reliabilityen_US
dc.typeConference_Paperen_US
dc.identifier.emailSzeto, WY: ceszeto@hku.hken_US
dc.identifier.authoritySzeto, WY=rp01377en_US
dc.identifier.hkuros187920en_US

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