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http://dx.doi.org/10.9717/kmms.2022.25.8.1007

DEVS-based Digital Twin Simulation Environment Modeling for Alternative Route Selection in Emergency Situations of Unnamed Aerial Vehicles  

Kwon, Bo Seung (Dept. of Computer Eng., Graduate School, Inha University)
Jung, Sang Won (Dept. of Computer Eng., Graduate School, Inha University)
Noh, Young Dan (Dept. of Computer Eng., Graduate School, Inha University)
Lee, Jong Sik (Dept. of Computer Eng., Graduate School, Inha University)
Han, Young Shin (Frontier College, Inha University)
Publication Information
Journal of Korea Multimedia Society / v.25, no.8, 2022 , pp. 1007-1021 More about this Journal
Abstract
Autonomous driving of unmanned aerial vehicles may have to pay expensive cost to create and switch new routes if unexpected obstacles exist or local map updates occured by the control system due to incorrect route information. Integrating digital twins into the path-following process requires more computing resources to quickly switch the wrong path to an alternative path, but it can quickly update the path during flight. In this study, we design a DEVS-based simulation environment which can modify optimized paths through short-term simulation of multi-virtual UAVs for applying digital twin concepts to path follow. Through simulation, we confirmed the possibility of increasing the mission stability of UAV.
Keywords
UAV; Drone; Digital Twin; Path-Planning; DEVS;
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