Turning Movement Counts on Shared Lanes: Prototype Development and Analysis Procedures

Turning movement count data is key to evaluating the performance of signalized intersections. The use of radar-based vehicle detection systems as an alternative to loop detectors is arguably an underutilized vehicle detection technology. The underutilization argument is based on radar-based vehicle detection systems being capable of continuously tracking the position of vehicles but only reporting to the controller the presence of vehicles over a detection zone that emulates the location of an inductive loop. If vehicle trajectory data from an intersection approach is continuously logged, monitoring vehicle volumes over long periods of times is possible, including breaking down the volume into movements by analyzing the paths of the vehicle trajectories regardless of lane configurations. Results from the project include the development of a data collection device capable of logging vehicle trajectories from intersections instrumented with a commercially available radar-based vehicle detection system. The device can be installed inside a signal cabinet and is independent of the controller platform. The data collection device serves as a platform for algorithms that make performance measures monitoring possible. An example of these algorithms is the one developed as part of the Type 1 IDEA project which was streamlined and improved as part of the Type 2 project described in this report. The data collection device implements some of the key noise removal techniques described in this report thus making it possible to improve the quality of turning movement counts generated based on the trajectory data collected. Improvements made to the noise removal and summary procedures made commercializing the product possible and open the doors for future improvements and the introduction of analysis procedures beyond turning movement counts.

  • Record URL:
  • Supplemental Notes:
    • This research conducted by the University of Wisconsin, Madison.
  • Authors:
    • Noyce, David A
    • Bill, Andrea R
    • Chitturi, Madhav V
    • Santiago-Chaparro, Kelvin R
  • Publication Date: 2019-8


  • English

Media Info

  • Media Type: Digital/other
  • Features: Appendices; Figures; Photos; References;
  • Pagination: 60p
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01717149
  • Record Type: Publication
  • Report/Paper Numbers: NCHRP IDEA Project 198
  • Files: TRIS, TRB, ATRI
  • Created Date: Sep 18 2019 11:19AM