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Authors: Oleg Golovnin ; Nikita Ostroglazov and Tatyana Mikheeva

Affiliation: Samara National Research University, Russian Federation

ISBN: 978-989-758-293-6

Keyword(s): Intelligent Transport Systems, Unmanned Aerial Vehicles, Transport Network Model, Geoinformation System, Genetic Algorithm, Branch and Bound Method.

Abstract: This article is dedicated to solving the problem of safe and secure cargo delivery in urban territory using unmanned aerial vehicles (multicopters) by modelling “flight map”, i.e. a system based on intellectual geoinformation system that develops an optimal and secure route for each UAV in the system and tracks all of them on electronic map online. The paper describes the results of algorithms analysis and assumes the algorithm showing higher test results.

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Paper citation in several formats:
Golovnin, O.; Ostroglazov, N. and Mikheeva, T. (2018). “Flight Map” Modelling Intellectual Geoinformation System for Urban Areas Cargo Delivery by Unmanned Aerial Vehicle.In Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-293-6, pages 277-282. DOI: 10.5220/0006670002770282

@conference{vehits18,
author={Oleg Golovnin. and Nikita Ostroglazov. and Tatyana Mikheeva.},
title={“Flight Map” Modelling Intellectual Geoinformation System for Urban Areas Cargo Delivery by Unmanned Aerial Vehicle},
booktitle={Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2018},
pages={277-282},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006670002770282},
isbn={978-989-758-293-6},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - “Flight Map” Modelling Intellectual Geoinformation System for Urban Areas Cargo Delivery by Unmanned Aerial Vehicle
SN - 978-989-758-293-6
AU - Golovnin, O.
AU - Ostroglazov, N.
AU - Mikheeva, T.
PY - 2018
SP - 277
EP - 282
DO - 10.5220/0006670002770282

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