M&S Driven Experimentation for Concept Development on Combined Manned and Unmanned Vehicles in Urban Environment: Simulation Design
In the paper we demonstrate the role of modelling and simulation in NATO Concept development and experimentation process both from individual training and analysis perspective. In the use case a simulation prototype is designed to support a proposed concept validation through experimentation. The st...
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Published in | Modelling and Simulation for Autonomous Systems pp. 43 - 61 |
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Main Authors | , , , |
Format | Book Chapter |
Language | English |
Published |
Cham
Springer International Publishing
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Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
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Summary: | In the paper we demonstrate the role of modelling and simulation in NATO Concept development and experimentation process both from individual training and analysis perspective. In the use case a simulation prototype is designed to support a proposed concept validation through experimentation. The stochastic simulation prototype design and development followed modified Distributed Simulation Engineering and Execution Process (DSEEP). The use case concept is framed around future operation of combined manned and unmanned vehicles in urban environment. There are two objectives in the use case. The first one is to design and develop a simulation environment replicating experimental trials like the experiment is happening in the field. The role of M&S is here limited to the generation of data based on the user design of the field experiment. The second objective is to support the experiment by M&S in its full potential employing different experimental designs, like parameters variation, optimization, compare runs, Monte Carlo and sensitivity analysis. The paper demonstrates the importance of a design phase of a simulation that can be used to support logistic experimentation in the urbanized environment and serves to the other researches as a basic building block for their own specific experiment being supported by simulation. |
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ISBN: | 9783030707392 3030707393 |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-030-70740-8_4 |