Skip to main content

The Multi-agent Layer of CALMeD SURF

  • Conference paper
  • First Online:
Multi-Agent Systems and Agreement Technologies (EUMAS 2017, AT 2017)

Abstract

This paper proposes a crowdsourcing approach that deals with the problem of Last Mile Delivery (LMD). The proposed approach is supported by Multi Agent System (MAS) techniques and makes use of a crowd of citizens that are moving in an urban area for their own needs. The idea is to employ those citizens to deliver parcels on their way to their destinations. The complexity of the approach lies in integrating the public infrastructure network of the city for the delivery route planning, and the citizens that are deliverers in the system with their own routes to their destinations. The proposed approach is supported by a MAS framework for open fleets management. Moreover, the executed tests suggest that the LMD by citizens can drastically reduce the emissions of carbon dioxide and other airborne pollutants that are caused by delivery trucks. Moreover it can reduce the traffic congestion and noise in urban areas.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    UDC is a concept, where the loads of delivery trucks from different carriers are consolidated at a single facility and transferred to new trucks/vehicles to increase the load factor and to allow for easier time-windowed operations in order to avoid traffic congestion.

  2. 2.

    Open fleets extend the traditional fleet concept towards a new dimension of openness: vehicles may interact with their environment in a Smart city [9], or join and leave the fleet at any time.

  3. 3.

    Take into account that the Valenbisi service has nowadays 45,000 registered users.

References

  1. Alonso-Mora, J., Samaranayake, S., Wallar, A., Frazzoli, E., Rus, D.: On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment. Proc. Nat. Acad. Sci. 114(3), 462–467 (2017)

    Article  Google Scholar 

  2. Billhardt, H., Fernández, A., Lujak, M., Ossowski, S., Julián, V., De Paz, J.F., Hernández, J.Z.: Towards smart open dynamic fleets. In: Rovatsos, M., Vouros, G., Julian, V. (eds.) EUMAS/AT -2015. LNCS (LNAI), vol. 9571, pp. 410–424. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-33509-4_32

    Chapter  Google Scholar 

  3. Brning, M., Schnewolf, W.: Freight transport system for urban shipment and delivery. In: 2011 IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS 2011, pp. 136–140 (2011)

    Google Scholar 

  4. Castelfranchi, C., Lespérance, Y. (eds.): ATAL 2000. LNCS (LNAI), vol. 1986. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-44631-1

    Book  MATH  Google Scholar 

  5. Chen, C., Pan, S.: Using the crowd of taxis to last mile delivery in e-commerce: a methodological research. In: Service Orientation in Holonic and Multi-agent Manufacturing, vol. 640, pp. 61–70 (2016)

    Chapter  Google Scholar 

  6. Gentile, G., Noekel, K. (eds.): Modelling Public Transport Passenger Flows in the Era of Intelligent Transport Systems. STTT, vol. 10. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-25082-3

    Book  MATH  Google Scholar 

  7. Giret, A., Carrascosa, C., Julian, V., Rebollo, M.: A crowdsourcing approach for last mile delivery. Emerging Technologies, Submitted to Transportation Research Part C (2017)

    Google Scholar 

  8. Kim, H.M., Han, S.S.: Seoul. Cities 29(2), 142–154 (2012)

    Article  Google Scholar 

  9. Neirotti, P., De Marco, A., Cagliano, A.C., Mangano, G., Scorrano, F.: Current trends in smart city initiatives: some stylised facts. Cities 38, 25–36 (2014)

    Article  Google Scholar 

  10. Paloheimo, H., Lettenmeier, M., Waris, H.: Transport reduction by crowdsourced deliveries - a library case in finland. Journal of Cleaner Production 132, 240–251 (2016). Absolute Reductions in Material Throughput, Energy Use and Emissions

    Article  Google Scholar 

  11. Rajeshwari, C.: Optimizing last mile delivery using public transport with multiagent based control. Master thesis, pp. 1–59 (2016)

    Google Scholar 

  12. Wangapisit, O., Taniguchi, E., Teo, J.S.E., Qureshi, A.G.: Multi-agent systems modelling for evaluating joint delivery systems. Procedia Social Behav. Sci. 125, 472–483 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. Julian .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Rebollo, M., Giret, A., Carrascosa, C., Julian, V. (2018). The Multi-agent Layer of CALMeD SURF. In: Belardinelli, F., Argente, E. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2017 2017. Lecture Notes in Computer Science(), vol 10767. Springer, Cham. https://doi.org/10.1007/978-3-030-01713-2_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-01713-2_31

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01712-5

  • Online ISBN: 978-3-030-01713-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics