Corridor Level Adaptive Signal Control

Traffic congestion in Austin Texas is becoming more problematic as the City continues growing rapidly. Current estimates indicate over 150 people per day are moving to Austin. To deal with the growing congestion problem in many travel corridors, the City is proposing adaptive traffic signal systems for several routes. The first pilot test is to be on a north-south route (Lamar Blvd) that experiences congestion particularly during the AM peak time. Before-after assessments of the proposed timing methodology will be developed from field observations and form the basis for improving the concept. The chosen corridor is an excellent test bed since it features hard-wire connected signal controllers and video surveillance. Street geometry includes two lanes each direction with a continuous two-way left turn lane. The research team has extensive experience with adaptive signal control concepts and this knowledge will be a significant contribution to the effort. Before-after field data combined with micro-simulation will constitute the primary tools. The research team also has a fully calibrated network model and dynamic traffic assignment capabilities to examine the likelihood of travelers changing paths potentially impacting the Lamar corridor signals.

  • Supplemental Notes:
    • Contract to a Performing Organization has not yet been awarded.

Language

  • English

Project

  • Status: Active
  • Funding: $140000
  • Sponsor Organizations:

    Center for Advanced Multimodal Mobility Solutions and Education

    University of North Carolina, Charlotte
    Charlotte, NC  United States  28223
  • Managing Organizations:

    University of North Carolina, Charlotte

    Department of Civil and Environmental Engineering
    9201 University City Boulevard
    Charlotte, NC  United States  28223-0001
  • Project Managers:

    Fan, Wei

  • Performing Organizations:

    University of Texas at Austin

    Austin, TX  United States  78712
  • Principal Investigators:

    Machemehl, R

  • Start Date: 20170115
  • Expected Completion Date: 20180930
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01625944
  • Record Type: Research project
  • Source Agency: Center for Advanced Multimodal Mobility Solutions and Education
  • Files: UTC, RiP
  • Created Date: Feb 14 2017 12:06PM