Saldivar-Carranza, E. D., Li, H., Mathew, J. K., Gayen, S., Malackowski, H., & Bullock, D. M. (2023). Reporting framework for arterial-level traffic signal performance measures estimated from connected vehicle trajectory data. West Lafayette, IN: Purdue University. https://doi.org/10.5703/1288284317617
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. Agencies need visualization tools that can enable them to quickly assess arterial-level performance by time-of-day (TOD) to identify challenges and opportunities. This document presents a framework to report four signal performance measures over a corridor for all relevant movements, including traditional Highway Capacity Manual (HCM) level of service (LOS), arrivals on green (AOG), split failures (SF), and downstream blockage (DSB). The reporting framework can provide up to 3,072 performance data points per intersection since it provides information for eight different movements and four performance measures for every 15-minute period over 24 hours. To demonstrate implementation, 14 reports displaying performance estimations for 12 corridors, located in 11 different states, are presented. This reporting approach can facilitate the determination of possible mitigation strategies by contrasting operational conditions between movements by TOD.