Deriving Operational Traffic Signal Performance Measures from Vehicle Trajectory Data
Operations-oriented traffic signal performance measures are important for identifying the need for retiming to improve traffic signal operations. Currently, most traffic signal performance measures are obtained from high-resolution traffic signal controller event data, which provides information on an intersection-by-intersection basis and requires significant initial capital investment. Over 400 billion vehicle trajectory points are generated each month in the United States. This paper proposes using high-fidelity vehicle trajectory data to produce traffic signal performance measures such as: split failure, downstream blockage, and quality of progression, as well as traditional Highway Capacity Manual level of service. Geo-fences are created at specific signalized intersections to filter vehicle waypoints that lie within the generated boundaries. These waypoints are then converted into trajectories that are relative to the intersection. A case study is presented that summarizes the performance of an eight-intersection corridor with four different timing plans using over 160,000 trajectories and 1.4 million GPS samples collected during weekdays in July 2019 between 5:00?a.m. and 10:00?p.m. The paper concludes by commenting on current probe data penetration rates, indicating that these techniques can be applied to corridors with annual average daily traffic of ~15,000 vehicles per day for the mainline approaches, and discussing cloud-based implementation opportunities.
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
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Supplemental Notes:
- The data that support the findings of this study are available from the corresponding author, Enrique Saldivar-Carranza, on reasonable request. © National Academy of Sciences: Transportation Research Board 2021.
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Authors:
- Saldivar-Carranza, Enrique
- Li, Howell
- Mathew, Jijo
- Hunter, Margaret
- Sturdevant, James
- Bullock, Darcy M
- Publication Date: 2021-9
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 1250-1264
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Volume: 2675
- Issue Number: 9
- Publisher: Sage Publications, Incorporated
- ISSN: 0361-1981
- EISSN: 2169-4052
- Serial URL: http://journals.sagepub.com/home/trr
Subject/Index Terms
- TRT Terms: Case studies; Cloud computing; Control systems; Data analysis; Delays; Performance measurement; Probe vehicles; Traffic data; Traffic signals; Trajectory
- Identifier Terms: Highway Capacity Manual
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01764371
- Record Type: Publication
- Report/Paper Numbers: TRBAM-21-01472
- Files: TRIS, TRB, ATRI
- Created Date: Feb 4 2021 11:00AM