Abstract
The traffic-ability of military vehicles in the terrain outside of communication is not trivial matter. The article deals with the application of different types of geographic data sources within the decision-making process. The Commanders of the military or rescue units are participated in this decision-making process especially in the field. The key role is offered for the use of geographic information systems and application of geographical-tactical analyses, the methods of mathematical modelling, simulation and optimization for the purpose of scheduling the appropriate routes of movements of military vehicles in the operating environment. The special algorithms for searching of optimal path have to satisfy the criteria that are set of for solution of tactical tasks in autonomous systems. It is possible the time and speed limits and safety of peoples to determine. The geographical conditions, tactical conditions and types of vehicles are the most important factors for estimation of time of movement in the different types of terrain. Lots of experiments in military area in the Czech Republic have been performed and unmanned ground vehicle TAROS for gathering of the data was used and method of laser-scanning was tested. The measurement has been evaluated by mathematical statistics and computer sciences. Solution of these tests it is possible to use also in crisis management for emergency systems in case of natural disasters such as floods, fires etc.
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Acknowledgements
The work presented in this paper has been supported by the Ministry of Education (project of specific research SV15-FVL-K110-10-KRI) and by the Ministry of Defence the Czech Republic (research project DZRO K-110).
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Kristalova, D. et al. (2016). Geographical Data and Algorithms Usable for Decision-Making Process. In: Hodicky, J. (eds) Modelling and Simulation for Autonomous Systems. MESAS 2016. Lecture Notes in Computer Science(), vol 9991. Springer, Cham. https://doi.org/10.1007/978-3-319-47605-6_19
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DOI: https://doi.org/10.1007/978-3-319-47605-6_19
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