IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt4xj5w07g.html
   My bibliography  Save this paper

A Truck Routing Model to Reduce Fuel Consumption and Emissions while Accounting for Parking Availability and Working Hours Constraints

Author

Listed:
  • Vital, Filipe
  • Ioannou, Petros

Abstract

The transportation sector is responsible for 28% of US greenhouse emissions, with a considerable amount being generated by medium- and heavy-duty trucks. Multiple strategies will be needed to improve efficiency and reduce carbon dioxide (CO2) emissions in the trucking industry. Researchers at the University of Southern California developed a truck routing model that minimizes fuel consumption and reduces emissions while explicitly accounting for parking availability and hours-of-service constraints. The researchers used the model to test various scenarios that reflect the practical constraints faced by drivers. View the NCST Project Webpage

Suggested Citation

  • Vital, Filipe & Ioannou, Petros, 2022. "A Truck Routing Model to Reduce Fuel Consumption and Emissions while Accounting for Parking Availability and Working Hours Constraints," Institute of Transportation Studies, Working Paper Series qt4xj5w07g, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt4xj5w07g
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/4xj5w07g.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Engineering; Hours of Service Regulations; Truck Driver Scheduling; Fuel Consumption Optimization; Parking-aware Planning;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:cdl:itsdav:qt4xj5w07g. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucdus.html .

    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.