Performance Evaluation of Different Detection Technologies for Signalized Intersections in Minnesota

Details

• Creators:
  Grossman, Malcolm ; Jiao, Yuankun ; Hu, Haoji ; Hourdos, John ; Chiang, Yao-Yi
• Corporate Creators:
  University of Minnesota. Department of Computer Science and Engineering ; Local Road Research Board
• Corporate Contributors:
  Minnesota. Department of Transportation
• Subject/TRT Terms:
  Data Analysis Detection And Identification Technologies Geographic Information Systems Signalized Intersections Time Series
• Publication/ Report Number:
  MN 2024-10
• Resource Type:
  Tech Report
• Geographical Coverage:
  Minnesota;United States
• Edition:
  Final Report 3/19/2021-5/31/2024
• Corporate Publisher:
  Minnesota. Department of Transportation
• Abstract:
  This research evaluates the performance of non-intrusive detection technologies (NITs) for traffic signals in Minnesota. Prior work shows that while no single NIT device performs best in all situations, under specific circumstances, some NIT devices consistently outperform others. Our goal in this research is to find which NIT devices perform better in conditions specific to Minnesota and provide cost estimations and maintenance recommendations for operating these devices year-round. Our research has two main components: 1) synthesizing national and local experiences procuring, deploying, and maintaining NITs, and 2) evaluating real-world NIT deployments in Minnesota across different weather conditions. Our results and analysis combine the results from these steps to make recommendations informed by research and real-world experience operating NIT devices. Through interviews with Minnesota traffic signal operators, the research finds that environmental factors like wind, snow, and rain cause most NIT failures, requiring costly on-site maintenance. Operators emphasize the need for central monitoring systems, sun shields, and heated lenses to maintain performance. The research then analyzes NIT video, signal actuation, and weather data at six Twin Cities intersections using Iteris and Autoscope Vision technologies. No single NIT performs best, aligning with previous findings, but Autoscope Vision is less prone to lens blockages requiring on-site service. Our analysis also finds some intersections have more failures, indicating location and geometry impact performance. Key recommendations are based on the relative performance of a NIT in different weather conditions and accounting for local weather conditions when selecting a NIT at an intersection. We also recommend using central monitoring systems to troubleshoot remotely, installing heat shields to prevent snow/rain accumulation, and routine annual checks and checks after major storms.
• Format:
  PDF
• Funding:
  (c) 1036342 (wo) 18
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:32126ed4dba3eaf0f35603d1a86c8660c5e4138ce805d74b756f533b28486f9090912659c1b68ff258f8935739af0b73274f85f54a38dc0b8ece372f5e264b5c
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/75580/dot_75580_DS1.pdf
• File Type:
  [PDF - 16.22 MB ]