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  • 1.
    Mbiydzenyuy, Gideon
    et al.
    Blekinge Institute of Technology, School of Computing.
    Persson, Jan
    Blekinge Institute of Technology, School of Computing.
    Davidsson, Paul
    Blekinge Institute of Technology, School of Computing.
    Optimization analysis of multiservice architecture concepts in road transport telematics2012In: Journal of Intelligent Transportation Systems / Taylor & Francis, ISSN 1547-2450, E-ISSN 1547-2442, Vol. 16, no 4, p. 197-210Article in journal (Refereed)
    Abstract [en]

    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.

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