IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v8y2024i4p95-d1486486.html
   My bibliography  Save this article

Framework for the Sustainable Modeling of Electric Truck Fleet Usage

Author

Listed:
  • Irina Yatskiv (Jackiva)

    (Engineering Faculty, Transport and Telecommunication Institute, Lauvas 2, LV-1019 Riga, Latvia)

  • Jurijs Tolujevs

    (Engineering Faculty, Transport and Telecommunication Institute, Lauvas 2, LV-1019 Riga, Latvia)

  • Vladimirs Petrovs

    (Engineering Faculty, Transport and Telecommunication Institute, Lauvas 2, LV-1019 Riga, Latvia)

Abstract

Background: As road transport companies increasingly integrate electric trucks (eTrucks) into urban fleets, evaluating their performance in real-world conditions is essential for effective fleet management and infrastructure planning. Methods: This study introduces TraPodSim, a simulation system designed to assess the key performance indicators (KPIs) of eTrucks and other vehicle types. Using real geographic data, transportation routes, and technical vehicle specifications, the system simulates daily operations under user-defined conditions. Results : TraPodSim produces 20 physical indicators, providing detailed insights into the daily performance of each vehicle in the fleet. These indicators help evaluate fleet efficiency, energy consumption, and overall operational effectiveness. Conclusions : TraPodSim offers transport companies a valuable tool for optimizing fleet configurations and analyzing the use of private or public battery-charging stations, enabling the efficient integration of eTrucks into existing transportation networks.

Suggested Citation

  • Irina Yatskiv (Jackiva) & Jurijs Tolujevs & Vladimirs Petrovs, 2024. "Framework for the Sustainable Modeling of Electric Truck Fleet Usage," Logistics, MDPI, vol. 8(4), pages 1-17, September.
    • Handle: RePEc:gam:jlogis:v:8:y:2024:i:4:p:95-:d:1486486
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/8/4/95/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2305-6290/8/4/95/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlogis:v:8:y:2024:i:4:p:95-:d:1486486. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.