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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
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    Cited by:

    1. 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.
    2. 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.
    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.

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    Keywords

    Engineering; safeTREC;

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