BOTLÍK, Josef, Radim DOLÁK and Milena JANÁKOVÁ. Simulation of infrastructure for autonomous systems. In Distance Learning, Simulation and communication DLSC 2017. Brno: Faculty of Military Technology of the University of Defence, 2017, p. 15-23. ISBN 978-80-7231-415-7.
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Basic information
Original name Simulation of infrastructure for autonomous systems
Authors BOTLÍK, Josef (203 Czech Republic, belonging to the institution), Radim DOLÁK (203 Czech Republic, belonging to the institution) and Milena JANÁKOVÁ (203 Czech Republic, belonging to the institution).
Edition Brno, Distance Learning, Simulation and communication DLSC 2017, p. 15-23, 9 pp. 2017.
Publisher Faculty of Military Technology of the University of Defence
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10200 1.2 Computer and information sciences
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/47813059:19520/17:00010853
Organization unit School of Business Administration in Karvina
ISBN 978-80-7231-415-7
Keywords in English model; precedence; region; infrastructure; simulation; autonomous systems
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 7/2/2020 10:57.
Abstract
The paper deals with design and simulation of infrastructure that will be suitable for the movement of autonomous systems based on a basic definition of nodes and links. It introduces the models that are generated by own simulation tool that is based on the real infrastructure of the Czech Republic at the level of statistical unit NUTS and LAU. Infrastructure is built based on deviatilites and reduced orthodromic distance. There is subsequently implemented on the infrastructure the quantification based on required network parameters and requirements of autonomous systems. There are defined the orientation and sought the local minima and maxima that are affecting the movement of autonomous systems in the infrastructure by using precedence. Presented model and simulations can be used to create structures applicable in command of process management.
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