Optimization analysis of multiservice architecture concepts in road transport telematics

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Optimization analysis of multiservice architecture concepts in road transport telematics

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dc.contributor.author Mbiydzenyuy, Gideon
dc.contributor.author Persson, Jan A.
dc.contributor.author Davidsson, Paul
dc.date.accessioned 2012-11-26T14:44:49Z
dc.date.available 2012-11-26T14:44:49Z
dc.date.issued 2012 en_US
dc.identifier.citation 197-210 en_US
dc.identifier.issn 1547-2450 en_US
dc.identifier.uri http://hdl.handle.net/2043/14405
dc.description.abstract Transport telematic systems, also known as intelligent transportation systems, can be expensive to implement but the services they provide may offer substantial benefits. However, what services the system can provide depends on the architectural choices made, which also affects the cost of the system. We propose an optimization model to support a more informed decision before investing in a multiple service transport telematic system. The model evaluates the possible choices of services and architectures, and aims to maximize the total net societal benefit. We argue that the optimization model can provide support for strategic decisions by highlighting the consequences of adopting different system architectures, including both societal value and cost. This can be useful for decision makers, such as governments, road transport telematic service providers, and commercial road freight transport operators. en_US
dc.language.iso eng en_US
dc.publisher Taylor & Francis en_US
dc.subject transport telematics en_US
dc.subject system architecture en_US
dc.subject evaluation en_US
dc.subject optimization en_US
dc.subject architecture en_US
dc.subject integer linear programming en_US
dc.subject modeling en_US
dc.subject.classification Technology en_US
dc.title Optimization analysis of multiservice architecture concepts in road transport telematics en_US
dc.type Article, peer reviewed scientific en_US
dc.contributor.department Malmö University. School of Technology en
dc.identifier.doi http://dx.doi.org/10.1080/15472450.2012.710159 en_US
dc.subject.srsc Research Subject Categories::TECHNOLOGY en_US
dc.relation.ispartofpublication Journal of Intelligent Transportation Systems: Technology, Planning, and Operations;4
dc.relation.ispartofpublicationvolume 16 en_US
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