IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt2n83w1q8.html
   My bibliography  Save this paper

Effectiveness of a Commercially Available Automated Pedestrian Counting Device in Urban Environments: Comparison with Manual Counts

Author

Listed:
  • Greene-Roesel, Ryan
  • Diogenes, Mara Chagas
  • Ragland, David R.
  • Lindau, Luis Antonio

Abstract

High-quality continuous counts of pedestrian volume are necessary to evaluate the effects of pedestrian infrastructure investments and to improve pedestrian volume modeling. Automated pedestrian counting devices can meet the need for continuous counts of pedestrian volume and reduce the labor cost associated with manual pedestrian counting and data entry. However, most existing automated pedestrian devices are not well suited to the task of counting pedestrians in outdoor environments, and little is known about their effectiveness and accuracy. This study addresses the lack of performance information on automated counting devices by providing a review of commercially available devices and by testing the accuracy of a promising device in an outdoor urban context. It finds that a dual sensor passive infrared device is capable of producing reasonably accurate pedestrian volume counts in the outdoor urban context. It also finds a high degree of inter-reliability between counts collected by field observers and through video recordings.

Suggested Citation

  • Greene-Roesel, Ryan & Diogenes, Mara Chagas & Ragland, David R. & Lindau, Luis Antonio, 2008. "Effectiveness of a Commercially Available Automated Pedestrian Counting Device in Urban Environments: Comparison with Manual Counts," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2n83w1q8, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt2n83w1q8
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/2n83w1q8.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Evan Thomas & Sally Gerster & Lambert Mugabo & Huguens Jean & Tim Oates, 2020. "Computer vision supported pedestrian tracking: A demonstration on trail bridges in rural Rwanda," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-17, October.
    2. Suji Kim & Kitae Jang & Sungjin Park, 2023. "‘Safety in Numbers’ for Walkers: Effects of Pedestrian Volume on Per-Pedestrian Crash Rate and Severe Injury Probability," Sustainability, MDPI, vol. 15(13), pages 1-12, June.
    3. Attaset, Vanvisa & Schneider, Robert J. & Arnold, Lindsay S. & Ragland, David R, 2010. "Effects of Weather Variables on Pedestrian Volumes in Alameda County, California," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3zn9f4cr, Institute of Transportation Studies, UC Berkeley.
    4. Jae Min Lee, 2021. "Understanding volume and correlations of automated walk count: Predictors for necessary, optional, and social activities in Dilworth Park," Environment and Planning B, , vol. 48(2), pages 331-347, February.

    More about this item

    Keywords

    Engineering; safeTREC;

    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:itsrrp:qt2n83w1q8. 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/itucbus.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.