Utilizing Traffic Signal Pedestrian Push-Button Data for Planning and Safety Analysis
Multimodal transportation planning and traffic safety analyses require information on how many people walk in various locations throughout the day. Unfortunately, traditional pedestrian data collection methods are insufficient for these purposes. This project utilizes a new and ubiquitous source of archived and real-time pedestrian data: pedestrian push-button actuations recorded in high-definition data logs from traffic signal controllers at signalized intersections. First, the research team extends the usefulness of pedestrian signal data by developing direct demand models of pedestrian volumes (at signalized intersections) as a function of local built environment characteristics, which can then be applied to unsignalized intersections and future scenarios. Second, the team utilizes pedestrian signal data as a measure of pedestrian exposure in the development of improved pedestrian intersection safety predictive methods and models. Project results in the form of transportation planning and safety analysis tools—enhanced with the use of pedestrian signal data—are expected to help improve pedestrian safety by advising agencies about risk factors and potential countermeasures as well as advance pedestrian planning efforts to create more livable communities.
Language
- English
Project
- Status: Active
- Funding: $100000
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Contract Numbers:
69A3551747108
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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 -
Managing Organizations:
North Dakota State University
Fargo, ND United States 58108 -
Project Managers:
Tolliver, Denver
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Performing Organizations:
Civil & Environmental Engineering Department
Utah State University
Logan, UT United States -
Principal Investigators:
Singleton, Patrick
- Start Date: 20200218
- Expected Completion Date: 20230731
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
- Source Data: MPC-622
Subject/Index Terms
- TRT Terms: Built environment; Data collection; Pedestrian actuated controllers; Pedestrian safety; Signalized intersections; Traffic volume; Transportation planning
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; Safety and Human Factors;
Filing Info
- Accession Number: 01732727
- Record Type: Research project
- Source Agency: Mountain-Plains Consortium
- Contract Numbers: 69A3551747108
- Files: UTC, RIP
- Created Date: Mar 5 2020 10:30AM