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Combining macro-level and agent-based modeling for improved freight transport analysis
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
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2014 (English)In: Procedia Computer Science, Elsevier , 2014, Vol. 32, 380-387 p.Conference paper, Published paper (Refereed)
Abstract [en]

Macro-level models is the dominating type of freight transport analysis models for supporting the decision-making in public authorities. Recently, also agent-based models have been used for this purpose. These two model types have complementing characteristics: macro-level models enable to study large geographic regions in low level of detail, whereas agent-based models enable to study entities in high level of detail, but typically in smaller regions. In this paper, we suggest and discuss three approaches for combining macro-level and agent-based modeling: exchanging data between models, conducting supplementary sub-studies, and integrating macro-level and agent-based modeling. We partly evaluate these approaches using two case studies and by elaborating on existing freight transport analysis approaches based on executing models in sequence.

Place, publisher, year, edition, pages
Elsevier , 2014. Vol. 32, 380-387 p.
Series
Procedia Computer Science, ISSN 1877-0509
Keyword [en]
Multi-agent-based simulation, Macro-level modeling, Freight transport modeling, Combining models
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-6552DOI: 10.1016/j.procs.2014.05.438ISI: 000361562600046OAI: oai:DiVA.org:bth-6552DiVA: diva2:834070
Conference
5th International Conference on Ambient Systems, Networks and Technologies (ANT-2014), Hasselt, BELGIUM
Available from: 2014-11-20 Created: 2014-08-01 Last updated: 2016-02-02Bibliographically approved

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Holmgren, Johan

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  • apa
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  • de-DE
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  • Other locale
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Output format
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  • asciidoc
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