Name
Title | ||
|---|---|---|
Combining Macro-level and Agent-based Modeling for Improved Freight Transport Analysis. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.procs.2014.05.438 | Procedia Computer Science |
Keywords | Field | DocType |
Multi-agent-based simulation,Macro-level modeling,Freight transport modeling,Combining models | Data mining,Computer science,Macro | Conference |
Volume | ISSN | Citations |
32 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johan Holmgren | 1 | 116 | 15.32 |
| Linda Ramstedt | 2 | 33 | 4.15 |
| Paul Davidsson | 3 | 315 | 53.19 |
| Henrik Edwards | 4 | 0 | 0.34 |
| Jan A. Persson | 5 | 145 | 19.37 |