[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt7262s64x.html
   My bibliography  Save this paper

Development and Application of Environmentally Friendly Intelligent Transportation System (ECO-ITS) Freight Strategies

Author

Listed:
  • Boriboonsomsin, Kanok
  • Vu, Alexander
  • Hao, Peng
  • Wei, Zhensong
  • Brown, Dylan
  • Barth, Matthew
  • Zhang, Yihang
  • Alasiri, Faisal
  • Vital, Filipe
  • Ioannou, Petros
Abstract
In the last few decades, efforts to reduce emissions from heavy-duty diesel trucks (HDDTs) and their health impacts have been focused on imposing increasingly stringent emissions standards. This has led to significant advancements in emission control technologies and alternative fuel vehicle technologies. While these technologies are effective at reducing emissions from HDDTs, the turnover of the existing HDDT population to these advanced technologies would require a large amount of investment and along time. In the near term, other efforts to reduce emissions of the existing HDDTs and mitigate their impacts on communities are needed. Many studies have shown the promise of intelligent transportation systems (ITS) technologies in reducing the energy consumption and environmental footprint of people and goods movement through various means. This research is aimed at developing and evaluating eco-friendly ITS strategies for freight vehicles and traffic, with a focus on strategies that are applicable to the transportation systems in the South Coast Air Basin. Four specific strategies are examined in this research, including: 1) connected eco-driving, 2) truck eco-routing, 3) integrated traffic control, and 4) intelligent parking assist. This report describes the evaluation of each strategy, discusses results, and provide recommendations for future implementation. View the NCST Project Webpage

Suggested Citation

  • Boriboonsomsin, Kanok & Vu, Alexander & Hao, Peng & Wei, Zhensong & Brown, Dylan & Barth, Matthew & Zhang, Yihang & Alasiri, Faisal & Vital, Filipe & Ioannou, Petros, 2022. "Development and Application of Environmentally Friendly Intelligent Transportation System (ECO-ITS) Freight Strategies," Institute of Transportation Studies, Working Paper Series qt7262s64x, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt7262s64x
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/7262s64x.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Engineering; Ecodriving; Fuel consumption; Intelligent transportation systems; Parking guidance systems; Pollutants; Truck traffic;
    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:qt7262s64x. 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.