Evaluation and Refinement of Minnesota Queue Warning Systems

Details

• Creators:
  Hourdos, John ; Robbennolt, Jake
• Corporate Creators:
  University of Minnesota. Dept. of Civil, Environmental, and Geo-Engineering
• Corporate Contributors:
  Minnesota. Department of Transportation. Office of Research & Innovation
• Subject/TRT Terms:
  • Traffic safety
  • Queuing
  • Warning systems
  • Crashes
  • Algorithms
• Publication/ Report Number:
  MN 2023-05
• Resource Type:
  Tech Report
• Geographical Coverage:
  Minnesota
• Corporate Publisher:
  Minnesota. Department of Transportation. Office of Research & Innovation
• Description:
  In previous research, investigators developed and deployed two warning systems, including MN-QWARN, which was installed on a segment of Interstate 94 (I-94) with a historically high crash rate. This system targeted shockwaves or initial stages of congestion based on the understanding that not all congestion events create high risks for crashes. Certain traffic conditions can be unsafe even if they don’t result in queueing. A brief evaluation of MN-QWARN, which has been operating since 2016, suggested that the warning system reduced crashes by 22%. Seeing the opportunity to leverage the historical traffic data on that highway segment, MnDOT was interested in learning more about the performance of MN-QWARN and the transferability of the queue warning system.
• Format:
  PDF
• Funding:
  (c) 1003325 (wo) 84
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/67836/dot_67836_DS1.pdf
• File Type:
  [PDF - 7.24 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:fa9f7e6378b7c0cc2de0434a93000cd6d7159feb99a5f018f07cd6f271d9d593