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Improving upon Package and Food Delivery by Semi-autonomous Tag-along Vehicles

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Intelligent Systems Design and Applications (ISDA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 736))

Abstract

This paper aims to improve current last mile distribution and package delivery by introducing basic concept of delivery using Semi-autonomous Tag-along Vehicles (SaTaVs) driven by their own agency and desires. SaTaVs are introduced as vehicles capable of traveling by following leading vehicle and thus reducing requirements for their autonomy while maintaining most of the advantages. Whole system is designed as maintaining long term equilibrium with agents goal in maximizing future investment.

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Acknowledgements

This work was supported by the BUT project FIT-S-17-4014 and the IT4IXS: IT4Innovations Excellence in Science project (LQ1602).

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Authors and Affiliations

  1. FIT, Brno University of Technology, IT4Innovations Centre of Excellence, Bozetechova 1/2, 612 66, Brno, Czech Republic

    Vaclav Uhlir, Frantisek Zboril & Jaroslav Rozman

Authors
  1. Vaclav Uhlir
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  2. Frantisek Zboril
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  3. Jaroslav Rozman
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Corresponding author

Correspondence to Vaclav Uhlir .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs , Auburn, Washington, USA

    Ajith Abraham

  2. Department of Computer Science, South Asian University, Chanakyapuri, Delhi, India

    Pranab Kr. Muhuri

  3. Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka , Durian Tunggal, Melaka, Malaysia

    Azah Kamilah Muda

  4. Machine Intelligence Research Labs , Auburn, Washington, USA

    Niketa Gandhi

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Uhlir, V., Zboril, F., Rozman, J. (2018). Improving upon Package and Food Delivery by Semi-autonomous Tag-along Vehicles. In: Abraham, A., Muhuri, P., Muda, A., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2017. Advances in Intelligent Systems and Computing, vol 736. Springer, Cham. https://doi.org/10.1007/978-3-319-76348-4_57

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  • DOI: https://doi.org/10.1007/978-3-319-76348-4_57

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76347-7

  • Online ISBN: 978-3-319-76348-4

  • eBook Packages: EngineeringEngineering (R0)

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