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Towards Smart Open Dynamic Fleets

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Multi-Agent Systems and Agreement Technologies (EUMAS 2015, AT 2015)

Abstract

Nowadays, vehicles of modern fleets are endowed with advanced devices that allow the operators of a control center to have global knowledge about fleet status, including existing incidents. Fleet management systems support real-time decision making at the control center so as to maximize fleet performance. In this paper, setting out from our experience in dynamic coordination of fleet management systems, we focus on fleets that are open, dynamic and highly autonomous. Furthermore, we propose how to cope with the scalability problem as the number of vehicles grows. We present our proposed architecture for open fleet management systems and use the case of taxi services as example of our proposal.

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Notes

  1. 1.

    https://www.uber.com/.

  2. 2.

    We assume that vehicles have capabilities to send their current positions on a regular basis and to inform about changes in their operational states.

  3. 3.

    Depending on the domain, agents can represent vehicles (e.g. taxi) or users/clients (person renting a bike).

  4. 4.

    At this point it is not important the distance function used.

  5. 5.

    Do not confuse with the price a client has to pay for a taxi service .

  6. 6.

    We consider the server “conceptually” centralized, we do not focus in this paper on the distributed implementation of the registry.

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Acknowledgments

Work partially supported by Spanish Government through the projects iHAS (grant TIN2012-36586-C03) and SURF (grant TIN2015-65515-C4-X-R), the Autonomous Region of Madrid through grant S2013/ICE-3019 (“MOSI-AGIL-CM”, co-funded by EU Structural Funds FSE and FEDER) and URJC-Santander (30VCPIGI15).

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Correspondence to Alberto Fernández .

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Billhardt, H. et al. (2016). Towards Smart Open Dynamic Fleets. In: Rovatsos, M., Vouros, G., Julian, V. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2015 2015. Lecture Notes in Computer Science(), vol 9571. Springer, Cham. https://doi.org/10.1007/978-3-319-33509-4_32

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  • DOI: https://doi.org/10.1007/978-3-319-33509-4_32

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