Amplifying Congestion Reduction by Integrating Macro and Local Traffic Control

This project aims to develop optimal integration methods of macro-level perimeter control and micro-level traffic signal timing control to reduce congestion and improve multimodal mobility and safety. New methods, tools, and datasets will be developed, focusing on converting the optimal in/out flow from perimeter control to the actual control schemes of local traffic signals. The project aims to achieve the following objectives: • Develop optimal conversion methods from perimeter control flow to traffic signal control at the boundaries of regions. • Optimize within-region multimodal traffic signals given the boundary flow and control schemes. • Devise consistency schemes between perimeter control and local control to ensure control stability. • Test and validate the proposed methods using the Virtual Test Drive (VTD) simulation testbed and the calibrated Macroscopic Fundamental Diagram (MFD) regions in Downtown Seattle. This will generate the necessary datasets for the proposed research, based on which the proposed methods will be tested, refined, and validated • Outreach and dissemination to agencies and the industry: via in-person/virtual meetings or workshops, the project team will disseminate research results/findings to traffic engineers in local agencies and industry partners and discuss how the proposed methods and results can help their current signal control/timing practices (e.g., signal re-timing), and how future urban traffic control may be transformed by the proposed methods.

• Record URL:
  https://c2smarter.engineering.nyu.edu/amplifying-congestion-reduction-by-integrating-macro-and-local-traffic-control/

Language

• English

Project

• Status: Active
• Funding: $105000
• Contract Numbers:

  69A3551747124

• 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:

  Connected Communities for Smart Mobility Towards Accessible and Resilient Transportation for Equitably Reducing Congestion (C2SMARTER)

  New York University
  Brooklyn, New York  United States  11201
• Project Managers:

  Pohl, Lizzie

  Chase, Holly

• Performing Organizations:

  Connected Communities for Smart Mobility Towards Accessible and Resilient Transportation for Equitably Reducing Congestion (C2SMARTER)

  New York University
  Brooklyn, New York  United States  11201

  University of Washington, Seattle

  Civil and Environmental Engineering Department
  201 More Hall, Box 352700
  Seattle, WA  United States  98195-2700
• Principal Investigators:

  Ban, Xuegang

  Kitali, Angela

• Start Date: 20240901
• Expected Completion Date: 20251130
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Connected vehicles; Traffic control; Urban areas
• Subject Areas: Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01937635
• Record Type: Research project
• Source Agency: Connected Communities for Smart Mobility Towards Accessible and Resilient Transportation for Equitably Reducing Congestion (C2SMARTER)
• Contract Numbers: 69A3551747124
• Files: UTC, RIP
• Created Date: Nov 20 2024 6:21PM