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.
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Notes
- 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.
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.
Take into account that the Valenbisi service has nowadays 45,000 registered users.
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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
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DOI: https://doi.org/10.1007/978-3-030-01713-2_31
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