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A Data Assimilation Framework for Discrete Event Simulations

机译：离散事件模拟的数据同化框架

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摘要

Discrete event simulation (DES) is traditionally used as an offline tool to help users to carry out analysis for complex systems. As real-time sensor data become more and more available, there is increasing interest of assimilating real-time data into DES to achieve on-line simulation to support real-time decision making. This article presents a data assimilation framework that works with DES models. Solutions are proposed to address unique challenges associated with data assimilation for DES. A tutorial example of discrete event road traffic simulation is developed to demonstrate the data assimilation framework as well as principles of data assimilation in general. This article makes contributions to the DE'S community by presenting a data assimilation framework for DES and a concrete tutorial example that helps readers to grasp the details of data assimilation for DES.
机译：传统上，离散事件模拟（DES）被用作脱机工具，以帮助用户对复杂系统进行分析。随着实时传感器数据变得越来越可用，人们越来越有兴趣将实时数据同化到DES中以实现在线仿真以支持实时决策。本文介绍了可与DES模型一起使用的数据同化框架。提出了解决方案以解决与DES数据同化相关的独特挑战。开发了一个离散事件道路交通仿真的教程示例，以演示数据同化框架以及总体上的数据同化原理。本文通过介绍DES的数据同化框架和一个具体的教程示例来帮助DE社区，以帮助读者掌握DES的数据同化的详细信息。

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