Modelling and Simulation of Microrelief Impact on Ground Path Extension | SpringerLink
Skip to main content

Modelling and Simulation of Microrelief Impact on Ground Path Extension

  • Conference paper
  • First Online:
Modelling and Simulation for Autonomous Systems (MESAS 2021)

Abstract

Geographic data are essential input parameters in the decision support systems for the evaluation of whether the planned routes of territory are passable or not. Micro-relief is one of the most notable geographical factors and although its influence is crucial, the micro-relief shapes are as the obstacles often neglected. These obstacles are existed almost in all types of terrain and their quantity and distribution in each specific type of terrain for evaluation of the mathematic model were determined on the bases of carto-metric investigation. Subsequently such system can serve for the optimization of routes of movements, calculating of a coefficient of the deceleration and next parameters and finally for an evaluation of the best solution for manoeuvre of military units according the commander`s requirements. The object of this paper is to point out that the calculated route extensions can help in the planning and decision-making process on the “just in time” concept, which should be commonly used in an operational environment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 11439
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 14299
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Hodicky, J., Frantis, P.: Decision support system for a commander at the operational level. In: Dietz, J.L.G. (ed.) Proceedings of the International Conference on Knowledge Engineering and Ontology Development, KEOD 2009, Funchal, Madeira, October 2009, pp. 359–362. INSTICC Press (2009). ISBN: 978-989-674-012-2

    Google Scholar 

  2. Nohel, J., Stodola, P., Flasar, Z.: Combat UGV support of company task force operations. In: Mazal, J., Fagiolini, A., Vasik, P., Turi, M. (eds.) MESAS 2020. LNCS, vol. 12619, pp. 29–42. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-70740-8_3

    Chapter  Google Scholar 

  3. Mokrá, I.: A model approach to the decision-making process. In: Conference Proceedings 3, Applied Technical Sciences and Advanced Military Technologies, vol. 3, no. 1, pp. 278–281 (2012). ISSN: 1843-6722

    Google Scholar 

  4. Rybanský, M.: Cross-country movement - the impact and evaluation of geographical factors. The Czech Republic, Brno, p. 114 (2009). ISBN: 978-80–7204-661-4

    Google Scholar 

  5. Kristalova, D.: Vliv povrchu terénu na pohyb vojenských vozidel (The Effect of the Terrain Cover on the Movement of Military Vehicles), The Ph.D. thesis (in Czech). The Univerzity of Defence, Brno, The Czech Republic, p. 318 (2013)

    Google Scholar 

  6. Mazal, J., Stodola, P., Hrabec, D., Kutěj, L., Podhorec, M., Křišťálová, D.: Mathematical modeling and optimization of the tactical entity defensive engagement. Int. J. Math. Models Methods Appl. Sci. 9(summer 2015), pp. 600–606 (2015). ISSN 1998-0140

    Google Scholar 

  7. Dohnal, F., Hubacek, M., Simkova, K.: Detection of microrelief objects to impede the movement of vehicles in terrain. ISPRS Int. J. Geo Inf. 8, 101 (2019)

    Article  Google Scholar 

  8. Zelinkova, D.: The analysis of the obtaining and using of the information for evaluation of CCM, (Analýza získávání a využitelnosti informací pro vyhodnocení průchodnosti území), Diploma Thesis (in Czech), VA Brno (2002)

    Google Scholar 

  9. Mazal, J.: Real time maneuever optimization in general environment. In: Brezina, T., Jablonski, R. (eds.) Recent Advances in Mechatronics, pp. 191–196. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-05022-0_33, ISBN 978-3-642-05021-3

  10. Křišťálová D., et al.: Geographical data and algorithms usable for decision-making process. In: Modelling and Simulation for Autonomous Systems, pp. 226–241. Springer, Roma (2016). ISSN 0302-9743, ISBN 978-3-319-47604-9

    Google Scholar 

  11. Drozd, J., Stodola, P., Křišťálová, D., Kozůbek, J.: Experiments with the UAS reconnaissance model in the real environment. In: Mazal, J. (ed.) MESAS 2017. LNCS, vol. 10756, pp. 340–349. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-76072-8_24

    Chapter  Google Scholar 

  12. Stodola, P., Drozd, J., Nohel, J.: Model of Surveillance in Complex Environment using a Swarm of Unmanned Aerial Vehicles. In: Jan Mazal. Modelling and Simulation for Autonomous Systems. MESAS 2020. Notes in Computer Science. Cham: Springer, 2021, roč. 12619, p. 231–249. https://doi.org/10.1007/978-3-030-70740-8_15, ISSN 0302–9743. ISBN 978–3–030–70739–2

  13. Kristalova, D.: An effect of sandy soils on the movement in the terrain. In: Hodicky, J. (ed.) MESAS 2014. LNCS, vol. 8906, pp. 262–273. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-319-13823-7_23, ISBN 978-3-319-13823-7

  14. Křišťálová D.: Evaluation of the data applicable for determining the routes of movements of military vehicles in tactical operation. In: The Complex Physiognomy of the International Secuirity Environment, , p. 197–203. “Nicolae Balcescu” Land Force Academy Publishing House, Sibiu (2015). ISBN 978-973-153-215-8

    Google Scholar 

  15. Tsourdos, A., White, B., Shanmugavel, M.: Cooperative path planning of unmanned aerial vehicles, p. 214. Wiley (2010). ISBN: 978-0-470-74129-0

    Google Scholar 

  16. Duan, H.B., Ma, G.J., Wang, D.B., Yu, X.F.: An improved ant colony algorithm for solving continuous space optimization problems. J. Syst. Simul. 19(5), 974–977 (2007)

    Google Scholar 

  17. Kress, M.: Operational Logistics: The Art and Science of Sustaining Military Operations. Springer, Heidelberg (2002). https://doi.org/10.1007/978-3-319-22674-3

  18. Rybar, M.: Modelovanie a simulacia vo vojenstve. Ministerstvo obrany Slovenskej republiky, Bratislava (2000)

    Google Scholar 

  19. Bruzzone, A., Massei, M.: Simulation-Based Military Training. In: Mittal, Saurabh, Durak, Umut, Ören, Tuncer (eds.) Guide to Simulation-Based Disciplines. SFMA, pp. 315–361. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-61264-5_14

    Chapter  Google Scholar 

  20. Mazal, J., Stodola, P., Procházka, D., Kutěj, L., Ščurek, R., Procházka, J.: Modelling of the UAV safety manoeuvre for the air insertion operations. In: Modelling and Simulation for Autonomous Systems, MESAS 2016, pp. 337–346. Springer International Publishing, Rome (2016). https://doi.org/10.1007/978-3-319-47605-6_27, ISSN 0302-9743. ISBN 978-3-319-47604-9

  21. Mazal, J., Rybanský, M., Bruzzone, A., Kutěj, L., Scurek,R., Foltin, P., Zlatník, D.: Modelling of the microrelief impact to the cross country movement. In: Bottani, E., Bruzzone, A.G., Longo, F., Merkuryev, Y., Piera, M.A. (eds.) Proceedings of the 22nd International Conference on Harbor, Maritime and Multimodal Logistic Modeling & Simulation, HMS, vol. 22, pp. 66–70 (2020). ISSN 2724-0339. ISBN 978-8-885-74146-1

    Google Scholar 

  22. Mazal, J, Bruzzone, A, Kutěj, L, Scurek, R, Foltin, P., Zlatník, D.: Optimization of the ground observation (2020). ISSN 2724-0339, ISBN 978-88-85741-46-1

    Google Scholar 

  23. Mazal, J, Bruzzone, A., Turi, M, Biagini, M., Corona, F., Jones, J.: NATO use of modelling and simulation to evolve autonomous systems. In: Complexity Challenges in Cyber Physical Systems: Using Modeling and Simulation (M&S) to Support Intelligence, Adaptation and Autonomy, pp. 53–80. John Wiley & sons, Hoboken (2019). ISBN 978-1-119-55239-0

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dana Kristalova .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kristalova, D. et al. (2022). Modelling and Simulation of Microrelief Impact on Ground Path Extension. In: Mazal, J., et al. Modelling and Simulation for Autonomous Systems. MESAS 2021. Lecture Notes in Computer Science, vol 13207. Springer, Cham. https://doi.org/10.1007/978-3-030-98260-7_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-98260-7_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-98259-1

  • Online ISBN: 978-3-030-98260-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics