Exploring Variation in Detection Errors of Wireless Magnetometers and Span Wire Cameras Using Conditional Inference Trees

In the paper, two stop bar vehicle detection technologies, wireless magnetometers and span wire cameras, are evaluated. Those technologies are considered to be practically suitable for large intersections, where span wire is generally required to achieve longer spans. To explore potential factors underlying variation in detection errors of those technologies, conditional inference trees were employed. The results indicated that the wireless magnetometers are quite robust to various weather and environmental conditions if there is reliable communication between in-pavement magnetometers and the repeater and/or access point. The addition of a repeater at the study site significantly reduced false and stuck-on call errors potentially caused by the frequent passing of heavy trucks. In contrast, the span wire camera is more susceptible to various weather and environmental conditions, and wind appears to be an influential factor, especially for false call errors.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AHB25 Standing Committee on Traffic Signal Systems.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Yang, Jidong
    • Kim, Sung-Hee
    • Zuo, Bashan
  • Conference:
  • Date: 2016

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Photos; References; Tables;
  • Pagination: 18p
  • Monograph Title: TRB 95th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01595119
  • Record Type: Publication
  • Report/Paper Numbers: 16-4690
  • Files: PRP, TRIS, TRB, ATRI
  • Created Date: Mar 31 2016 1:38PM