Scalable and actionable performance measures for traffic signal systems provide opportunities for practitioners to measure and improve the transportation network. Historically, traffic signal improvements have relied on scheduled signal retiming based on limited data collection, or on the public to call and alert engineers of an issue. This inefficient method of improving signal timing led to the creation of automated traffic signal performance measures (ATSPMs). These metrics rely on expensive infrastructure, including detection and communications, which has produced barriers for numerous agencies to fully adopt. Recently, third-party data providers have begun to release vehicle trajectory data, which allows for enhanced signal metrics with no investment in physical equipment. The purpose of this study is to demonstrate the use of these data and summarize the scalability of the created metrics. This work builds on previous efforts to quantify signal performance on nine intersections in Michigan, U.S. Ten signalized corridors in Columbus, Ohio, were chosen to scale a performance assessment using crowdsourced trajectory data. A total of 136 intersections were assessed in 2-h intervals using data from all weekdays in 2017. High-level corridor summary metrics including average percent of vehicles stopping (18%–32%), average delay (9.4–20.5 s), and level of travel time reliability (1.23–2.73) were calculated for each corridor direction. Intersection-level metrics were also introduced, which can be used by practitioners to identify problems, improve signal timings, and prioritize future infrastructure investments.

交通信号系统的可扩展且可操作的性能度量为从业人员提供了机会来度量和改进交通网络。从历史上看，交通信号灯的改进依赖于基于有限数据收集的预定信号重定时，或者依靠公众来召集并提醒工程师问题。这种效率低下的改善信号时序的方法导致创建了自动交通信号性能指标（ATSPM）。这些指标依赖于昂贵的基础架构，包括检测和通信，这为众多机构全面采用提供了障碍。最近，第三方数据提供商已开始发布车辆轨迹数据，从而无需在物理设备上进行投资即可增强信号指标。本研究的目的是演示这些数据的使用并总结所创建指标的可伸缩性。这项工作建立在先前量化美国密歇根州9个交叉路口的信号性能的基础上，选择了俄亥俄州哥伦布的10条信号走廊，以使用众包轨迹数据进行性能评估。使用2017年所有工作日的数据，每2小时间隔评估了136个交叉路口。高级走廊摘要指标包括停车的平均百分比（18％–32％），平均延误（9.4–20.5 s）和计算了每个走廊方向的旅行时间可靠性水平（1.23-2.73）。还引入了路口级别的度量标准，从业人员可以使用这些度量标准来确定问题，改善信号时序并确定未来基础设施投资的优先级。