Maneuver Optimization of Large Number of Elements in the Context of Real Time Effective Exploitation of Distribution Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F10%3A00422338" target="_blank" >RIV/60162694:G42__/10:00422338 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Maneuver Optimization of Large Number of Elements in the Context of Real Time Effective Exploitation of Distribution Network
Original language description
The paper deals with the issue of optimum maneuver with effective exploitation of traffic segment overload, considering traffic density dependence and dynamic condition change on communications or terrain areas. Solution of this issue is dependent on time density expectation (extrapolation) of partial traffic segments computed based on optimum path solution and modification of weighted graph model for next element process iteration. Integration of exploited solution with C4I systems is viewed as a partial aspect of advanced decision support application in the area of military unit distribution and maneuver in combat or non-combat operations. It enables to identify critical configurations in traffic network in operations.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
KA - Militarism
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICMT'09: International Conference on Military Technologies
ISBN
978-80-7231-649-6
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
Univesity of Defence
Place of publication
Brno
Event location
Brno
Event date
Jan 1, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000284810600072