oru.sePublications
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
A review on agent-based technology for traffic and transportation
Instituto de Informática/PPGC, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre RS, Brazil.
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-1470-6288
2014 (English)In: Knowledge engineering review (Print), ISSN 0269-8889, E-ISSN 1469-8005, Vol. 29, no 3, p. 375-403Article, review/survey (Refereed) Published
Abstract [en]

In the last few years, the number of papers devoted to applications of agent-based technologies to traffic and transportation engineering has grown enormously. Thus, it seems to be the appropriate time to shed light over the achievements of the last decade, on the questions that have been successfully addressed, as well as on remaining challenging issues. In the present paper, we review the literature related to the areas of agent-based traffic modelling and simulation, and agent-based traffic control and management. Later we discuss and summarize the main achievements and the challenges.

Place, publisher, year, edition, pages
New York: Cambridge University Press, 2014. Vol. 29, no 3, p. 375-403
National Category
Computer Sciences
Research subject
Information technology; Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-29231DOI: 10.1017/S0269888913000118ISI: 000335848200004Scopus ID: 2-s2.0-84900024220OAI: oai:DiVA.org:oru-29231DiVA, id: diva2:623912
Available from: 2013-05-29 Created: 2013-05-29 Last updated: 2018-06-04Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Klügl, Franziska

Search in DiVA

By author/editor
Klügl, Franziska
By organisation
School of Science and Technology
In the same journal
Knowledge engineering review (Print)
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 535 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