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International Conference on Computational Science and Its Applications

ICCSA 2018: Computational Science and Its Applications – ICCSA 2018 pp 317–326Cite as

GPS-GIS for the Identification of a New Air Approach Path Through RNAV Procedure

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10962))

Abstract

The high congestion of airports, due to the increase in air traffic demand and the lack of significant infrastructure interventions, must be accompanied by a high level of security in airport areas. The risk related to interference between aircraft and vehicles during ground movements is still high and, for this reason, adequate distances must be ensured between them as well as during flight. In particular, the airport traffic areas must be monitored continuously in order to know at any time the position of all moving objects, land and ground vehicles. This note proposes an integrated GPS and GIS system for the monitoring of airport areas, following the new requirements of the Intelligent Transport System (ITS) applications and with an innovative communication between GIS networks. This system we also used for the development and subsequent verification of a new approach to RWY 33 of the Reggio Calabria airport, applying the RNAV technique.

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Author information

Authors and Affiliations

  1. DICEAM Department, Faculty of Engineering, University “Mediterranea” of Reggio Calabria, 89100, Reggio Calabria, Italy

    Vincenzo Barrile & Antonino Fotia

  2. University IUAV of Venice, Santa Croce 191 Tolentini, 30135, Venice, Italy

    Giuliana Bilotta

Authors
  1. Vincenzo Barrile
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  2. Antonino Fotia
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  3. Giuliana Bilotta
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Corresponding author

Correspondence to Giuliana Bilotta .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka shi, Fukuoka, Japan

    Bernady O. Apduhan

  9. Politecnico di Bari, Bari, Italy

    Eufemia Tarantino

  10. Myongji University, Yongin, Korea (Republic of)

    Yeonseung Ryu

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Barrile, V., Fotia, A., Bilotta, G. (2018). GPS-GIS for the Identification of a New Air Approach Path Through RNAV Procedure. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10962. Springer, Cham. https://doi.org/10.1007/978-3-319-95168-3_21

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  • DOI: https://doi.org/10.1007/978-3-319-95168-3_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95167-6

  • Online ISBN: 978-3-319-95168-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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