Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Exploring synergy relationships between telematic services and functionalities using cluster analysis
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
Malmö University.
Malmö University.
2015 (English)In: IET Intelligent Transport Systems, ISSN 1751-956X, E-ISSN 1751-9578, Vol. 9, no 4, p. 366-374Article in journal (Refereed) Published
Abstract [en]

A method for assessing potential synergies among different sets of transport telematic services (TTSs) is suggested. An Intelligent Transport System enhances transport by delivering one or more TTSs. The ability to deliver multiple TTSs to address a wide range of stakeholder needs is gaining momentum, not only from a marketing perspective but also from a technological perspective. The total cost of TTSs can be reduced if they share functionalities (i.e., sub-services provided by telematic systems). We show how this synergy can be assessed with the help of clustering methods. Knowledge about possible synergies of functionalities is useful in the (re)design and eventual deployment of TTSs, especially when the underlying telematic systems are able to support multiple TTSs. To adapt the clustering method for this purpose, we suggest a mathematical formulation of synergy among functionalities of TTSs. By applying the method to a set of 32 TTSs, we obtain a cluster formation of these TTSs according to their synergy measures. Overall, the results suggest that the joint implementation of TTSs targeted toward some problem domains can lead to significant cost savings, for example, Road User Charging, Infrastructure Repair and Maintenance, and Information on the Transport of extra large goods for the management of road transport infrastructure. © The Institution of Engineering and Technology 2015.

Place, publisher, year, edition, pages
Institution of Engineering and Technology, 2015. Vol. 9, no 4, p. 366-374
Keywords [en]
Cluster analysis; Highway planning; Intelligent systems; Repair; Roads and streets; Toll highways; Traffic control; Transportation; Wireless telecommunication systems, Clustering methods; Intelligent transport systems; Joint implementation; Mathematical formulation; Potential synergies; Repair and maintenance; Road-user charging; Technological perspective, Mergers and acquisitions
National Category
Information Systems
Identifiers
URN: urn:nbn:se:bth-719DOI: 10.1049/iet-its.2014.0049ISI: 000354468200003Scopus ID: 2-s2.0-84929377392OAI: oai:DiVA.org:bth-719DiVA, id: diva2:815611
Funder
VinnovaAvailable from: 2015-06-01 Created: 2015-05-28 Last updated: 2024-04-10Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Mbiydzenyuy, Gideon

Search in DiVA

By author/editor
Mbiydzenyuy, Gideon
By organisation
Department of Computer Science and Engineering
In the same journal
IET Intelligent Transport Systems
Information Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 4846 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf