Automated Conflict Resolution Utilizing Probability Collectives Optimizer

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00181933" target="_blank" >RIV/68407700:21230/11:00181933 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5654597" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5654597</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSMCC.2010.2089448" target="_blank" >10.1109/TSMCC.2010.2089448</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automated Conflict Resolution Utilizing Probability Collectives Optimizer

Popis výsledku v původním jazyce

Rising manned air traffic and deployment of unmanned aerial vehicles in complex operations requires integration of innovative and autonomous conflict detection and resolution methods. In this paper, the task of conflict detection and resolution is defined as an optimization problem searching for a heading control for cooperating airplanes using communication. For the optimization task, an objective function integrates both collision penalties and efficiency criteria considering airplanes' objectives (waypoints). The probability collectives optimizer is used as a solver for the specified optimization task. This paper provides two different implementation approaches to the presented optimization-based collision avoidance: 1) a parallel computation usingmultiagent deployment among participating airplanes and 2) semicentralized computation using the process-integratedmechanism architecture.

Název v anglickém jazyce

Automated Conflict Resolution Utilizing Probability Collectives Optimizer

Popis výsledku anglicky

Rising manned air traffic and deployment of unmanned aerial vehicles in complex operations requires integration of innovative and autonomous conflict detection and resolution methods. In this paper, the task of conflict detection and resolution is defined as an optimization problem searching for a heading control for cooperating airplanes using communication. For the optimization task, an objective function integrates both collision penalties and efficiency criteria considering airplanes' objectives (waypoints). The probability collectives optimizer is used as a solver for the specified optimization task. This paper provides two different implementation approaches to the presented optimization-based collision avoidance: 1) a parallel computation usingmultiagent deployment among participating airplanes and 2) semicentralized computation using the process-integratedmechanism architecture.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Transactions on Systems, Man, and Cybernetics: Part C

ISSN

1094-6977

e-ISSN

—

Svazek periodika

41

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

365-375

Kód UT WoS článku

000289471700009

EID výsledku v databázi Scopus

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