System Monitoring of Auto Traffic

No matter where they form and why, queues are impactful to traffic, causing delay and increased accident potential. The overall goal of this effort is to explore methodologies for automatically detecting the development of queues in a street network. Additional objectives would be to determine the spread of the queue, the rate of spread, and identify their impact area. By automatically determining these parameters from real-time information, the next step of predictive management (not taken in this project) could be analyzed to proactively employ real-time strategies to minimize queue formation, spread, and impact. While any real-time analytics approach faces significant challenges, new research in big-data monitoring, assessment, and analysis techniques provide the premise for finding a practical real-time solution.

• Record URL:
  https://nicr.usf.edu/2020/12/11/1-3-system-monitoring-of-auto-traffic/

Language

• English

Project

• Status: Completed
• Funding: $162667
• Contract Numbers:

  69A3551947136

  79070-00-B

  79070-00-C

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  University of South Florida, Tampa

  Center for Urban Transportation Research
  3650 Spectrum Boulevard
  Tampa, FL  United States  33612-9446
• Project Managers:

  Li, Xiaopeng

• Performing Organizations:

  Texas A&M Transportation Institute (TTI)

  400 Harvey Mitchell Parkway South
  Suite 300
  College Station, TX  United States  77845-4375

  University of California Berkeley

  Department of Civil and Environmental Engineering
  416C McLaughlin Hall
  Berkeley, California  United States  94720
• Principal Investigators:

  Brydia, Robert

  Shen, Max

  Cassidy, Michael

• Start Date: 20200901
• Expected Completion Date: 20211031
• Actual Completion Date: 20220421
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Incident detection; Methodology; Real time information; Traffic queuing
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01751327
• Record Type: Research project
• Source Agency: National Institute for Congestion Reduction
• Contract Numbers: 69A3551947136, 79070-00-B, 79070-00-C
• Files: UTC, RIP
• Created Date: Sep 4 2020 11:27AM