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International Conference on Intelligent Interactive Multimedia Systems and Services

KES-IIMSS-18 2018: Intelligent Interactive Multimedia Systems and Services 2017 pp 400–409Cite as

Ambulance Fastest Path Using Ant Colony Optimization Algorithm

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 76))

Abstract

The number of the accidents in Tunisia is terrifying and it is considered as the highest in the world while basing on accurate statistics. Such situation requires a very fast intervention. Therefore, it is necessary to promote the study in ambulance management, so as to optimize the strategy of response to a given accident. Based on the defect of the ambulance root choosing, this paper puts forward a new algorithm based on ant colony optimization algorithm to find the best way that minimizes the time while taking into consideration the cases of problems that can appear each time such as traffics, catastrophes natural, etc.

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Notes

  1. 1.

    https://www.tustex.com/economie-actualites-economiques/le-reseau-ferroviaire-rapide-de-tunis-rfr-verra-le-jour-debut-2018-et-permettra-le-transport-de-2500.

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Author information

Authors and Affiliations

  1. BESTMOD, High Institute of Management, Tunis, Tunisia

    Hazar Hamdi & Nouha Arfaoui

  2. College of Computer Science, King Khaled University, Abha, Saudi Arabia

    Yasser Al Mashhour & Jalel Akaichi

Authors
  1. Hazar Hamdi
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  2. Nouha Arfaoui
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  3. Yasser Al Mashhour
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  4. Jalel Akaichi
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Corresponding author

Correspondence to Hazar Hamdi .

Editor information

Editors and Affiliations

  1. National Research Council of Italy (CNR-ICAR), Institute for High-Performance Computing and Networking, Naples, Italy

    Giuseppe De Pietro

  2. National Research Council of Italy (CNR-ICAR), Institute for High-Performance Computing and Networking, Naples, Italy

    Luigi Gallo

  3. Fern Barrow, Bournemouth University, Poole, Dorset, United Kingdom

    Robert J. Howlett

  4. University of Canberra, Canberra, Aust Capital Terr, Australia

    Lakhmi C. Jain

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© 2018 Springer International Publishing AG

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Hamdi, H., Arfaoui, N., Mashhour, Y.A., Akaichi, J. (2018). Ambulance Fastest Path Using Ant Colony Optimization Algorithm. In: De Pietro, G., Gallo, L., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia Systems and Services 2017. KES-IIMSS-18 2018. Smart Innovation, Systems and Technologies, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-319-59480-4_40

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  • DOI: https://doi.org/10.1007/978-3-319-59480-4_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59479-8

  • Online ISBN: 978-3-319-59480-4

  • eBook Packages: EngineeringEngineering (R0)

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