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Combining Macro-lev...
Combining Macro-level and Agent-based Modeling for Improved Freight Transport Analysis
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- Holmgren, Johan (author)
- Blekinge Tekniska Högskola,Malmö högskola,Teknik och samhälle (TS),Internet of Things and People (IOTAP),Institutionen för datalogi och datorsystemteknik
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Ramstedt, Linda (author)
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- Davidsson, Paul (author)
- Malmö högskola,Teknik och samhälle (TS),Internet of Things and People (IOTAP)
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Edwards, Henrik (author)
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- Persson, Jan A. (author)
- Malmö högskola,Teknik och samhälle (TS),Internet of Things and People (IOTAP)
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(creator_code:org_t)
- Elsevier, 2014
- 2014
- English.
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In: Procedia Computer Science. - : Elsevier. - 1877-0509. ; 32, s. 380-387, s. 380-387
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Multi-agent-based simulation
- Macro-level modeling
- Freight transport modeling
- Combining models
Publication and Content Type
- ref (subject category)
- art (subject category)
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