Dynamic Data Driven Simulation Based on Macro-microscopic Hierarchical Simulation Models

Authors

Xu Xie, College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
Yuqing Ma, College of Systems Engineering, National University of Defense Technology, Changsha 410073, China

Abstract

Abstract:This paper proposed a dynamic data driven simulation approach based on macro-microscopic hierarchical simulation models. This approach enabled the measurement data from the real system to affect the macroscopic simulation and microscopic simulation in sequence and made the two simulations evolve together so that it could provide decision makers with the state evolution prediction of the real system at the macroscopic level to assist decision making and provide a microscopic testbed similar to the real system, on which decision makers could deduce and evaluate their strategies. This paper established a formal description of the approach and designed a data assimilation method applicable to macromicroscopic hierarchical simulation models. A simulated epidemic outbreak and transmission scenario was designed, based on which an identical-twin experiment was conducted to illustrate the feasibility and effectiveness of the proposed approach.

Recommended Citation

Xie, Xu and Ma, Yuqing (2025) "Dynamic Data Driven Simulation Based on Macro-microscopic Hierarchical Simulation Models," Journal of System Simulation: Vol. 37: Iss. 7, Article 16.
DOI: 10.16182/j.issn1004731x.joss.24-0787
Available at: https://dc-china-simulation.researchcommons.org/journal/vol37/iss7/16

First Page

1848

Last Page

1864

CLC

TP391.9

Recommended Citation

Xie Xu, Ma Yuqing. Dynamic Data Driven Simulation Based on Macro-microscopic Hierarchical Simulation Models[J]. Journal of System Simulation, 2025, 37(7): 1848-1864.

DOI

10.16182/j.issn1004731x.joss.24-0787