System Monitoring of Auto Traffic Queue Detection and Congestion Impact Assessment

The main objectives of this study were to identify available data sets and explore methodologies for improving the detection of bottlenecks, related congestion, and queue formation, as well as formulate methodologies to determine the extent and rate of spread queues, identify their impact area, and look at potential mitigation strategies. Methodologies are provided that evaluate (a) impacts of single construction projects, (b) combined daily impacts of construction projects and incidents on selected segments of the corridor, and (c) a process to find the most appropriate schedule that minimizes the negative impact of construction, utility work or special events that require partial or full closure of a roadway. Finally, this study describes an approach to queue detection using a combination of data available from two different sources (traffic sensors and third-party data providers) and finding the best combination of the two data sources for queue detection

• Record URL:
  https://doi.org/10.5038/CUTR-NICR-RR-2022-1-3
• Summary URL:
  https://nicr.usf.edu/2020/12/11/1-3-system-monitoring-of-auto-traffic/
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/63565
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Texas A&M Transportation Institute

  College Station, TX  United States 

  National Institute for Congestion Research (NICR)

  Tampa, FL  United States  33620

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Pesti, Geza
  • Storey, Beverly
  • Brydia, Robert
• Publication Date: 2022-4-21

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; Illustrations; Maps; References; Tables;
• Pagination: 58p

Subject/Index Terms

• TRT Terms: Road construction; Traffic congestion; Traffic data; Traffic queuing; Traffic surveillance; Work zone traffic control
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01856417
• Record Type: Publication
• Contract Numbers: 69A63595A139547513964, 79103760-00-SUB B and 79070
• Files: UTC, NTL, TRIS, ATRI, USDOT, STATEDOT
• Created Date: Aug 29 2022 9:27AM