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Cooperative Routing and Scheduling of an Electric Vehicle Fleet Managing Dynamic Customer Requests

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On the Move to Meaningful Internet Systems: OTM 2016 Conferences (OTM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10033))

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Abstract

Environmental issues and consumer concerns have paved the way for governments to legislate and help usher into operation alternative-fueled vehicles and pertinent infrastructures. In the last decade, battery-powered electric vehicles have been introduced and the service industry has followed suit and deployed such trucks in their distribution networks. However, electric vehicles do impose limitations when it comes to their traveling range. Replenishing the power to the vehicle batteries may entail lengthy charging visits at respective stations. In this paper, we examine the problem of routing and scheduling a fleet of electric vehicles that seek to satisfy dynamic pickup and delivery requests in an urban environment. We develop a web application to facilitate cooperation between organizations and individuals involved in urban freight transport. The application uses geolocation services and mobile devices to help manage the fleet and make timely decisions. Moreover, we propose three heuristic recharging strategies to ensure that electric vehicles can restore their energy levels in an effective manner. Through detailed experimentation, we show that the costs associated with the use of an electric vehicle fleet concern mainly the size of the fleet. The impact regarding the total route length traveled is less evident for all our strategies.

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Notes

  1. 1.

    Our REST API is documented using raml2html.

  2. 2.

    http://www.openstreetmap.org/.

  3. 3.

    This value is derived through extensive exploratory experimentation and works well consistently throughout our experiments.

  4. 4.

    http://www.sfu.ca/~snezanam/personal/PDPTW/TestInstances/Rnd6_1h-2h-4h-6h-7h-Req/.

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Acknowledgement

This work has been partially supported by the EU H2020 “GALENA” grant with agreement n. 641515.

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Authors and Affiliations

  1. University of Athens, 15703, Athens, Greece

    Panagiotis Liakos, Iosif Angelidis & Alex Delis

Authors
  1. Panagiotis Liakos
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  2. Iosif Angelidis
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  3. Alex Delis
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Correspondence to Panagiotis Liakos .

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Editors and Affiliations

  1. ADAPT Centre, Trinity College Dublin, Dublin 2, Ireland

    Christophe Debruyne

  2. University of Lorraine, Vandoeuvre-les-Nancy, France

    Hervé Panetto

  3. TU Graz, Graz, Austria

    Robert Meersman

  4. La Trobe University, Melbourne, Australia

    Tharam Dillon

  5. Institute of Computer Languages, TU Wien, Vienna, Austria

    eva Kühn

  6. ADAPT Centre, Trinity College Dublin, Dublin 2, Ireland

    Declan O'Sullivan

  7. Università degli Studi di Milano Crema, Crema, Italy

    Claudio Agostino Ardagna

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Liakos, P., Angelidis, I., Delis, A. (2016). Cooperative Routing and Scheduling of an Electric Vehicle Fleet Managing Dynamic Customer Requests. In: Debruyne, C., et al. On the Move to Meaningful Internet Systems: OTM 2016 Conferences. OTM 2016. Lecture Notes in Computer Science(), vol 10033. Springer, Cham. https://doi.org/10.1007/978-3-319-48472-3_7

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  • DOI: https://doi.org/10.1007/978-3-319-48472-3_7

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