Application of Coordinated Multi-Vehicle Formations for Snow Shoveling on Airports
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00160054" target="_blank" >RIV/68407700:21230/09:00160054 - 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
Application of Coordinated Multi-Vehicle Formations for Snow Shoveling on Airports
Original language description
In this paper, we present a framework that applies multiple groups of autonomous snowplow robots for efficiently removing the snow from airfields. The main idea is to form temporary coalitions of vehicles, whose size depends on the width of the roads toclean. The robots of a coalition then arrange in formation and accomplish assigned sweeping tasks. In the paper the problem of snow shoveling is divided into the subproblems of task allocation and motion coordination. For the task allocation we propose amulti-agent method designed for the dynamic environment of airports. The motion coordination part focuses on generating trajectories for the vehicle formations based on the output of the task allocation module. Furthermore a specific feedback controlleris introduced that achieves optimal breadthwise road coverage even in sharp turns. All components as well as the complete system have been verified in various simulations.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Intelligent Service Robotics
ISSN
1861-2776
e-ISSN
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Volume of the periodical
2
Issue of the periodical within the volume
4
Country of publishing house
DE - GERMANY
Number of pages
13
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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