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A Cost-Optimization Model in Multi-agent System Routing for Drone Delivery

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Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems (PAAMS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 722))

Abstract

Unmanned Aerial Vehicles (UAVs) have received attention in the last decade because of their low cost, small size, and programmable features. Drone delivery is one of the most promising applications to deliver packages efficiently. However, there are still doubts like “How to overcome the drone’s limited capacity and battery life?”. This paper will show a proposal to solve this problem by collaborating a drone delivery system with existing public transportation. A delivery system composed by UAVs and buses is a heterogeneous multi-agent system. This study will allocate the tasks to the UAVs and buses in the context of the multi-agent delivery system. Also, this work finds a path for each package by solving the vehicle routing problem (VRP) to find the cost-optimized path given the heterogeneous multi-agent system and minimize the number of UAVs needed for deliver. The experimental results show that the routing algorithm will reduce the total mileage and the number of UAVs given the same set of orders.

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Author information

Authors and Affiliations

  1. M2M Lab, Purdue University, West Lafayette, IN, 47906, USA

    Miae Kim & Eric T. Matson

Authors
  1. Miae Kim
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  2. Eric T. Matson
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Corresponding author

Correspondence to Eric T. Matson .

Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain

    Javier Bajo

  2. Polytechnic Institute of Porto, Porto, Portugal

    Zita Vale

  3. University of Southern Denmark, Odense, Denmark

    Kasper Hallenborg

  4. University of Porto, Porto, Portugal

    Ana Paula Rocha

  5. Lille University of Science and Technology, Lille, France

    Philippe Mathieu

  6. Poznan University of Technology, Poznan, Poland

    Pawel Pawlewski

  7. Polytechnic University of Valencia, Valencia, Spain

    Elena Del Val

  8. University of Minho, Braga, Portugal

    Paulo Novais

  9. National Laboratory of Energy and Geology, Lisbon, Portugal

    Fernando Lopes

  10. National University of Colombia, Manizales, Caldas, Colombia

    Nestor D. Duque Méndez

  11. Polytechnic University of Valencia, Valencia, Spain

    Vicente Julián

  12. Malmö University, Malmo, Sweden

    Johan Holmgren

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Kim, M., Matson, E.T. (2017). A Cost-Optimization Model in Multi-agent System Routing for Drone Delivery. In: Bajo, J., et al. Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems. PAAMS 2017. Communications in Computer and Information Science, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-60285-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-60285-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60284-4

  • Online ISBN: 978-3-319-60285-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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