IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-030-70478-0_13.html
   My bibliography  Save this book chapter

Use of UAVS, Computer Vision, and IOT for Traffic Analysis

In: Internet of Things

Author

Listed:
  • Paloma Peiro

    (Universidad Europea de Madrid)

  • Carlos Quiterio Gómez Muñoz

    (Universidad Europea de Madrid)

  • Fausto Pedro GarcíaMárquez

    (Castilla-La Mancha University)

Abstract

One of the greatest needs today in road safety and its conservation work is to obtain traffic data in real time to predict traffic and increase safety of people. In this work, a camera embedded in an Unmanned Automatic Vehicle in static flight has been used to get information about traffic in a roundabout. These infrastructures are key since they are considered conflictive points in the circulation flow, and it is complex to analyze. A system has been developed to analyze images online and that obtains vehicle behavior data in real time. The system offers information such as vehicle count, their instantaneous speed at each moment, average speed of each one, individual trajectory, traffic density, lane changes, trouble spots, etc. The information provided by this system allows a better decision-making, increased security, improved traffic flow, and how to schedule maintenance tasks carried out by conservatives.

Suggested Citation

  • Paloma Peiro & Carlos Quiterio Gómez Muñoz & Fausto Pedro GarcíaMárquez, 2021. "Use of UAVS, Computer Vision, and IOT for Traffic Analysis," International Series in Operations Research & Management Science, in: Fausto Pedro García Márquez & Benjamin Lev (ed.), Internet of Things, chapter 0, pages 275-296, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-70478-0_13
    DOI: 10.1007/978-3-030-70478-0_13
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:isochp:978-3-030-70478-0_13. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.