Using Collected Data to Improve Dynamic Traffic Assignment Modeling
Traffic assignment models depend on collected data for calibration and validation. The City of Austin is currently deploying an array of sensors and other equipment to collect new sources of data for the City’s transportation system. In addition, other area agencies are collecting large quantities of data and are contributing to the trend of deploying new equipment in the field. Collecting and ultimately using this data to inform transportation network models will result in improved accuracy and can enhance the capabilities of the Center for Transportation’s dynamic traffic assignment tools. In addition, the data collection and analysis will spur new research opportunities.
- Record URL:
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Supplemental Notes:
- Finished report: http://ctr.utexas.edu/wp-content/uploads/130.pdf
Language
- English
Project
- Status: Completed
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Contract Numbers:
DTRT13-G-UTC58
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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 -
Project Managers:
Bhat, Chandra
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Performing Organizations:
Data-Supported Transportation Operations and Planning Center
University of Texas at Austin
Austin, TX United States 78701 -
Principal Investigators:
Duthie, Jennifer
- Start Date: 20160401
- Expected Completion Date: 20180831
- Actual Completion Date: 0
- Source Data: 130
Subject/Index Terms
- TRT Terms: Data analysis; Data collection; Dynamic traffic assignment; Traffic data
- Identifier Terms: Center for Transportation Research
- Geographic Terms: Austin (Texas)
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting;
Filing Info
- Accession Number: 01611912
- Record Type: Research project
- Source Agency: Data-Supported Transportation Operations and Planning Center
- Contract Numbers: DTRT13-G-UTC58
- Files: UTC, RIP
- Created Date: Sep 24 2016 10:57AM