Performance-based Operations Assessment of Adaptive Traffic Signal Control
Arterial management has been traditionally done using time-of-day mode. In recent years, adaptive controls have been implemented at congested arterials as an option to improve mobility by providing traffic-responsive control instead of implementing generic time-based timing plans. It is essential for a traffic engineer to perform a detailed before and after impact analysis of such a system to justify the cost of the system, better understand the workings and limitations of the system, and fine tune the system for the existing conditions. This analysis will benefit in investment programming of future potential corridors. This study will provide an evaluation of the adaptive traffic signal system to be installed along southeast (SE) 14th Street in Des Moines, Iowa and develop techniques for adaptive control evaluation and use them to evaluate the traffic adaptive signal system to be installed along Dodge Street in Omaha, Nebraska. The research team will work with the adaptive system supplier to capture data for the evaluation, eliminating hours of field data collection and also providing for a much more complete and longer time period of analysis. The analysis will also evaluate the potential of using wide-area probe-base data streams for batch performance analytics and real-time analytics. Given this is the first project of a new Iowa Department of Transportation (DOT) program, the timely results will highlight the benefits of such an investment and will serve as an important reference in consideration of the suitability and selection of similar projects across the state.
- Record URL:
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Supplemental Notes:
- Related to: Performance Based Operations Assessment of Adaptive Traffic Signal Control, RB09-016 https://rip.trb.org/view/2015/P/1370086
Language
- English
Project
- Status: Active
- Funding: $46040
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 Iowa State University
2711 S Loop Drive, Suite 4700
Ames, IA United States 50010-8664 -
Performing Organizations:
Institute for Transportation
2711 South Loop Drive, Suite 4700
Ames, Iowa United States 50010-8664 -
Principal Investigators:
Sharma, Anuj
Knickerbocker, Skylar
Nath, Ravi
Hawkins, Neal
- Start Date: 20160301
- Expected Completion Date: 20170831
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Adaptive control; Arterial highways; Benefits; Data collection; Highway operations; Traffic control; Traffic data; Traffic signal controllers
- Subject Areas: Data and Information Technology; Operations and Traffic Management; Safety and Human Factors;
Filing Info
- Accession Number: 01595744
- Record Type: Research project
- Source Agency: Midwest Transportation Center
- Files: UTC, RiP
- Created Date: Apr 6 2016 2:27PM