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Strategic Service Selection Problem for Transport Telematic Services- An Optimization Approach
Blekinge Institute of Technology, School of Computing.
2014 (English)In: 2014 IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2014), IEEE Computer Society, 2014, 520-527 p.Conference paper (Refereed)Text
Abstract [en]

The selection, composition and integration of Transport Telematic Services (TTSs) is crucial for achieving cooperative Intelligent Transport Systems (ITS). To enable future adaptation, models for selecting and composing TTSs needs to take into account possible future modifications, upgrades or downgrades of different TTSs without tipping off the benefit edge. To achieve this, a Strategic Service Selection Problem (SSSP) for TTSs is presented in this article. The problem involves selecting a set of TTSs that maximizes net societal benefits over a strategic time period, e.g., 10 years. The formulation of the problem offers possibilities to study design alternatives taking into account future modifications, extensions, upgrades or downgrades of different TTSs. Two decisive factors affecting the choices and modifications of TTSs are studied: 1) the effect of using Governmental policies to mandate the introduction of TTSs, e.g., Road User Charging and eCall, and 2) the effects of allowing market forces to drive the choices of TTSs. Case study results indicate that in determining combinations of TTSs that can be deployed in a period of 10 years, enforcing too many TTSs can retard the ability of the market to generate net benefits even though the results could be that more TTSs will be deployed.

Place, publisher, year, edition, pages
IEEE Computer Society, 2014. 520-527 p.
Keyword [en]
Transport, Intelligent, Selection, Optimization, Telematic, Services, Composition
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:bth-11466DOI: 10.1109/SCC.2014.75ISI: 000358444100066ISBN: 978-1-4799-5066-9OAI: oai:DiVA.org:bth-11466DiVA: diva2:899346
Conference
11th IEEE International Conference on Services Computing (SCC), JUN 27-JUL 02, 2014, Anchorage, AK
Available from: 2016-02-01 Created: 2016-01-20 Last updated: 2016-02-09Bibliographically approved

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