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Possibilities of Raster Mathematical Algorithmic Models Utilization as an Information Support of Military Decision Making Process

  • Jan NohelEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11472)

Abstract

The planning and decision-making process for conducting combat operations must take into account the development of the situation in a number of diverse areas that affect the action of forces and resources on the battlefield. An analysis of their impact can be done through computational programs and mathematical algorithmic models, using a raster representation of geographic and tactical data. Raster data layers in the mathematical model allow for a combination of surface effects, terrain elevation, and weather effects, as well as the forces and vehicles of both the enemy and your own units. Mathematical calculations result in a manoeuver route, optimized based on predefined criteria, such as speed and safety. The result can have a double use. In case of the manoeuver of enemy forces and vehicles, it is possible to simulate their probable future activity. The result of combining all effects of the situation on the battlefield is the optimal route of manoeuver of your own units designed in several seconds. Utilization of such software will provide commanders substantive independence and speed of decision making in the course of military operations. Sharing of designed route of manoeuver with all adjacent units and higher headquarters also enable to coordinate the activity of all superior task force.

Keywords

Decision-making process Mathematical models Algorithm Raster data Route of manoeuver 

References

  1. 1.
    FM 6-0 Mission Command: Command and Control of Army Forces, Headquarters Department of the Army, Washington (2003). PIN: 080933-000, A1pGoogle Scholar
  2. 2.
    FM 3-0 Operations: Headquarters Department of the Army, Washington, 4–3p. (2011). PIN: 079091-000, C1Google Scholar
  3. 3.
    Source: author of the article (OTS VŘ PozS)Google Scholar
  4. 4.
    Group of authors: NEC Understanding network enabled capability, 12p. Publishing Newsdesk Communications Ltd., Londýn (2009). ISBN 978-1-905435-94-4Google Scholar
  5. 5.
    Hodicky, J., Frantis, P.: Decision support system for a commander at the operational level. In: 2009 Proceedings 1st International Conference on Knowledge Engineering and Ontology Development KEOD, pp. 359–362 (2009)Google Scholar
  6. 6.
    Nohel, J.: The possibilities of information support in the planning of the maneuver of units Dissertation thesis, University of Defence, Brno (2015)Google Scholar
  7. 7.
    Source: author of the article (TDSS)Google Scholar
  8. 8.
    Mezníková, L.: Analysis of shortest routes on maps for orientational running, Diploma paper, ČVUT University, 57p. Prag (2011). http://geo.fsv.cvut.cz/proj/dp/2011/lenka-meznikova-dp-2011.pdf
  9. 9.
    Talhofer, V., et al.: Military topography, military publication, Odbor doktrín VeV – VA, Vyškov, 186–187pp. (2011). Pub-28-68-01Google Scholar
  10. 10.
    Military geographic institute Prag, ÚDP PŮDY, handbook. PRAHA, 2000, 6p. http:www.is.muni.cz/el/1431/podzim2005/Z8105/Databaze_pudy.doc

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.University of DefenseBrnoCzech Republic

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