Speaker: Yeji Jeon, Ph.D. student, Department of Civil and Architectural Engineering and Mechanics, University of Arizona
When
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Summary: Pima Association of Governments (PAG) has been expanding its use of region-wide traffic count data to support transportation planning, modeling, and operational decision-making. This project focused on enhancing the analytical use of archived regional traffic count datasets by reviewing data quality, assessing availability across years and locations, and developing reproducible analysis tools. The project presents a structured framework for evaluating traffic count data and generating actionable performance metrics using multi-source datasets, including Turning Movement Counts and Miovision data. The work begins with a systematic review of data completeness and spatial coverage, followed by the development of scripts for trend analysis, traffic composition assessment, and multimodal traffic pattern evaluation. Example results demonstrate how the proposed methods can reveal temporal trends, mode-specific traffic patterns, and spatial variations across intersections. Overall, the project delivers scalable analytics and visualization tools that strengthen PAG’s traffic count program and support regional transportation modeling, performance monitoring, and data-driven planning efforts.
Researcher's Bio: Yeji is a second-year PhD student and graduate research assistant in the Center for Applied Transportation Sciences at the University of Arizona. Her research focuses on multimodal transportation operation, transit orientation, travel behavior, and data science.