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

  • Vaclav Uhlir
  • Frantisek Zboril
  • Jaroslav Rozman
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 736)


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.


Vehicle routing problem Perishable food delivery Intelligent transportation Agent systems 



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


  1. 1.
    Paolo, T., Daniele, V.: The vehicle routing problem. SIAM Monographs on Discrete Mathematics and Applications. Society for Industrial and Applied Mathematics, Philadelphia (2002)zbMATHGoogle Scholar
  2. 2.
    Toth, P., Vigo, D.: Vehicle Routing: Problems, Methods, and Applications. SIAM, Philadelphia (2014)CrossRefzbMATHGoogle Scholar
  3. 3.
    Hsu, C.I., Hung, S.F., Li, H.C.: Vehicle routing problem with time-windows for perishable food delivery. J. Food Eng. 80(2), 465–475 (2007)CrossRefGoogle Scholar
  4. 4.
    Fu, L.: Scheduling Dial-A-Ride Paratransit under time-varying, stochastic congestion. Transp. Res. Part B Methodol. 36(6), 485–506 (2002)CrossRefGoogle Scholar
  5. 5.
    Jung, J., Jayakrishnan, R., Nam, D.: High coverage point-to-point transit: local vehicle routing problem with genetic algorithms. In: 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp. 1285–1290. IEEE (2011)Google Scholar
  6. 6.
    Fagnant, D.J., Kockelman, K.M., Bansal, P.: Operations of shared autonomous vehicle fleet for austin, texas, market. Transp. Res. Rec. J. Transp. Res. Board 2536, 98–106 (2015)CrossRefGoogle Scholar
  7. 7.
    Fagnant, D.J., Kockelman, K.M.: Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin. Texas. Transportation 45(1), 143–158 (2016). CrossRefGoogle Scholar
  8. 8.
    Levin, M.W., Kockelman, K.M., Boyles, S.D., Li, T.: A general framework for modeling shared autonomous vehicles with dynamic network-loading and dynamic ride-sharing application. Comput. Environ. Urban Syst. 64, 373–383 (2017)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Vaclav Uhlir
    • 1
  • Frantisek Zboril
    • 1
  • Jaroslav Rozman
    • 1
  1. 1.FITBrno University of Technology, IT4Innovations Centre of ExcellenceBrnoCzech Republic

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