Evaluating the Quality of Signal Operations Using Signal Performance Measures

The Utah Department of Transportation (UDOT) has taken an active role in evaluating and monitoring traffic signal performance throughout the state of Utah. Automated traffic signal performance measures (ATSPM) have been adopted to collect data concerning the current and historical performance of signalized intersections to optimize mobility and manage traffic signal timing and maintenance to reduce congestion, save fuel costs, and improve safety. The collected and aggregated data that are continuously generated yields approximately 1 TB of data per month. The purpose of this research was to provide a method that can evaluate intersection-level and corridor-level performance using the ATSPM data. The method described in this paper analyzed three signalized corridors in Utah, consisting of 22 total intersections. Four ATSPM were used to develop threshold values. These performance measures include Platoon Ratio, Split Failures, Arrivals on Green, and Red-Light Actuation. These four performance measures are scaled and classified using k-means cluster analysis. The k-means cluster analysis is a broad set of techniques for finding subgroups of observations within a data set. The results of this analysis produced a score for each intersection and corridor determined from the weighted average of the four measures. The methodology can be developed with more performance types and more extensive corridors for future studies.

• Record URL:
  https://drive.google.com/file/d/1xr8EbasfqhGUlEAQVlsBrcMb05Z44SON/view
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/54639
• Corporate Authors:

  Brigham Young University

  Department of Civil and Environmental Engineering
  Provo, UT  United States  84602

  Utah Department of Transportation

  4501 South 2700 West
  Salt Lake City, UT  United States  84114-8410

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Schultz, Grant G
  • Macfarlane, Gregory S
  • Wang, Bangyu
  • McCuen, Sabrina
• Publication Date: 2020-7

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; Maps; Photos; References; Tables;
• Pagination: 107p

Subject/Index Terms

• TRT Terms: Cluster analysis; Evaluation and assessment; Information processing; Methodology; Performance measurement; Signalized intersections; Traffic signals
• Geographic Terms: Utah
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01751851
• Record Type: Publication
• Report/Paper Numbers: UT-20.08
• Contract Numbers: 19-8766
• Files: NTL, TRIS, ATRI, USDOT, STATEDOT
• Created Date: Sep 15 2020 11:59AM