UTILIZING SPATIO-TEMPORAL DATA IN MULTI-AGENT SIMULATION

被引：3
|
作者：
Glake, Daniel [1 ]
Ritter, Norbert [1 ]
Clemen, Thomas [2 ]
机构：
[1] Univ Hamburg, Dept Informat, Vogt Kolln Str 30, D-22527 Hamburg, Germany
[2] Hamburg Univ Appl Sci, Dept Comp Sci, Berliner Tor 7, D-20099 Hamburg, Germany
来源：
2020 WINTER SIMULATION CONFERENCE (WSC) | 2020年
关键词：
MODEL;
D O I：
10.1109/WSC48552.2020.9384124
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Spatio-temporal properties strongly influence a large proportion of multi-agent simulations (MAS) in their application domains. Time-dependent simulations benefit from correct and time-sensitive input data that match the current simulated time or offer the possibility to take into account previous simulation states in their modelling perspective. In this paper, we present the concepts and semantics of data-driven simulations with vector and raster data and extend them by a time dimension that applies at run-time within the simulation execution or in conjunction with the definition of MAS models. We show that the semantics consider the evolution of spatio-temporal objects with their temporal relationships between spatial entities.
引用
收藏
页码：242 / 253
页数：12
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