Automated Turning Movement Counts for Shared Lanes Using Existing Vehicle Detection Infrastructure
Turning movement count data; that is, vehicle volumes broken down by movement, approach, and time period, are the foundation of signal performance evaluations and a crucial component of data-driven decision-making processes used by transportation agencies. As part of this NCHRP IDEA Stage 1 project, the research team has shown that an algorithm that produces turning movement counts reports using vehicle trajectory data extracted from existing vehicle detection infrastructure can be created. The algorithm developed in this project differs from existing approaches in that it does not rely on count zones on exit approaches or the use of time stamps of detection calls. As a proof of concept, the algorithm has shown significant promise in terms of performance at typical intersections. While changes to the algorithm are needed, results obtained are encouraging and can be used by those familiar with data analysis and collection techniques.
- Record URL:
-
Supplemental Notes:
- This NCHRP-IDEA investigation was conducted by the University of Wisconsin.
-
Authors:
- Noyce, David
- Chittori, Mahav
- Santiago-Chaparro, Kelvin
- Bill, Andrea R
- Publication Date: 2016
Language
- English
Media Info
- Media Type: Digital/other
- Edition: Final Report
- Features: Figures; References; Tables;
- Pagination: 37p
-
Serial:
- NCHRP-IDEA Program Project Final Report
- Issue Number: 177
- Publisher: Transportation Research Board
Subject/Index Terms
- TRT Terms: Algorithms; Data collection; Detection and identification; Traffic counting; Traffic counts; Traffic volume; Turning traffic; Vehicle trajectories
- Identifier Terms: Innovations Deserving Exploratory Analysis (IDEA) (Program)
- Uncontrolled Terms: Shared-use lanes
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01610340
- Record Type: Publication
- Report/Paper Numbers: NCHRP IDEA Project 177
- Files: TRIS, TRB, ATRI
- Created Date: Sep 8 2016 2:19PM