Speaker: Udaya Adhikari, Ph.D. student, Department of Civil and Architectural Engineering and Mechanics, University of Arizona
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Join in person or online: https://arizona.zoom.us/j/85456541042?from=addon
Abstract: This project focuses on optimizing traffic signal performance in the City of Tucson using a multi-source, data-driven framework. Building on Phases 1–8, which established a comprehensive traffic data ecosystem, Phase 9 supports signal retiming for two priority corridors, Benson Hwy/S Tucson Blvd and 22nd Street, while advancing system-wide mobility and safety improvements. The project integrates multiple data sources, including real-time signal timing data, video-based turning movement counts, GPS trajectories from WaySync, and INRIX traffic data. These datasets are incorporated into the UA-SMART platform to support enhanced data visualization, monitoring, and analysis. Signal performance is evaluated using measures such as travel time, delay, number of stops, arrival on green, and signal timing quality. A bandwidth-based optimization approach is applied to improve coordination along study corridors, with before-and-after evaluations conducted using multi-source travel time and delay data. The project provides actionable insights for practitioners and decision-makers by quantifying signal performance and identifying opportunities for improvement. Additionally, it contributes to developing a scalable framework for continuous traffic monitoring and determining optimal signal retiming frequency in urban networks.
Researcher's Bio: Udaya Adhikari is a second-year Ph.D. student and Graduate Research Assistant at the University of Arizona’s Center for Applied Transportation Sciences (CATS). His work focuses on traffic safety, transportation operations, and intelligent transportation systems, with a particular emphasis on improving safety at signalized intersections.