A multi-paradigm simulation for the implementation of digital twins in surveillance applications

Seunghan Lee, Saurabh Jain, Yinwei Zhang, Jian Liu, Young Jun Son

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Physics-based simulation (PBS) is now widely utilized to maximize the usage of real-time sensory information in surveillance applications. Since agent-based simulation (ABS) helps in analyzing human behaviors under different scenarios, the combination of PBS and ABS can provide a better situational awareness capability by considering both the sensory inputs and human decisions. Furthermore, advances in sensory detection and tracking technologies allow for real-time planning and control of the surveillance system in the broader area. This paper aims to devise an optimal planning and control policy for surveillance systems, which will process different types of sensory data including videos, seismic data, as well as behavior models. To consider different scenarios in the surveillance area, we formulate this problem as a Markov Decision Process (MDP) by utilizing various sensory data for parameter selection. We then develop a Digital Twin (DT) of the surveillance using both PBS and ABS to calibrate and validate our proposed MDP framework. The resulting multi-paradigm simulation framework with DT can be an attractive approach to handle uncertainties in a system caused by the heterogeneity and velocity of the sensory data.

Original languageEnglish (US)
Title of host publicationProceedings of the 2020 IISE Annual Conference
EditorsL. Cromarty, R. Shirwaiker, P. Wang
PublisherInstitute of Industrial and Systems Engineers, IISE
Pages79-84
Number of pages6
ISBN (Electronic)9781713827818
StatePublished - 2020
Event2020 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2020 - Virtual, Online, United States
Duration: Nov 1 2020Nov 3 2020

Publication series

NameProceedings of the 2020 IISE Annual Conference

Conference

Conference2020 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2020
Country/TerritoryUnited States
CityVirtual, Online
Period11/1/2011/3/20

Keywords

  • Agent-based simulation
  • Digital Twins
  • Markov Decision Process
  • Physics-based simulation
  • Surveillance

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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