Saldivar-Carranza, E. D., Li, H., Mathew, J. K., Gayen, S., Malackowski, H., & Bullock, D. M. (2023). Trajectory-based arterial traffic signal performance measures reports. West Lafayette, IN: Purdue University. https://doi.org/10.5703/1288284317633
Date of this Version
traffic signal, performance measures, corridor, arterial, visualization, connected vehicle, trajectory
Traffic signal performance measures based on connected vehicle (CV) trajectory data can provide practitioners actionable information on the operational state of their systems. A visualization framework that can enable agencies to quickly assess arterial-level performance by time-of-day (TOD) to identify challenges and opportunities has been recently developed. The framework provides information on four relevant signal performance measures over a corridor, including traditional Highway Capacity Manual (HCM) level of service (LOS), arrivals on green (AOG), split failures (SF), and downstream blockage (DSB). This document uses the proposed framework to provide 58 arterial-level performance reports analyzing 571 unique signalized intersections on 42 corridors in 14 different states. Results are estimated from over 18,000,000 vehicle trajectories and 328,000,000 GPS points. Since the reporting approach can provide up to 3,072 performance data points per intersection, this manuscript provides almost 2 million measures for all the analyzed locations.