Emerging connected vehicle (CV) data sets have recently become commercially available. This paper presents several tools using CV data to evaluate traffic progression quality along a signalized corridor. These include both performance measures for high-level analysis as well as visualizations to examine details of the coordinated operation. With the use of CV data, it is possible to assess not only the movement of traffic on the corridor but also to consider its origin-destination (OD) path through the corridor. Results for the real-world operation of an eight-intersection signalized arterial are presented. A series of high-level performance measures are used to evaluate overall performance by time of day, with differing results by metric. Next, the details of the operation are examined with the use of two visualization tools: a cyclic time-space diagram (TSD) and an empirical platoon progression diagram (PPD). Comparing flow visualizations developed with different included OD paths reveals several features. In addition, speed heat maps are generated, providing both speed performance along the corridor. The proposed visualization tools portray the corridor performance holistically instead of combining individual signal performance metrics. The techniques exhibited in this study are compelling for identifying locations where engineering solutions are required. The recent progress in infrastructure-free sensing technology has significantly increased the scope of CV data-based traffic management systems. The study demonstrates the utility of CV trajectory data for obtaining high-level details of the corridor performance and drilling down into the minute specifics.

翻译：新兴的网联车（CV）数据集近期已实现商业化。本文提出了若干利用CV数据评估信号化干道交通流运行质量的工具，包括用于宏观分析的性能度量方法以及用于审视协调运行细节的可视化技术。借助CV数据，不仅可以评估干道上的交通流动态，还可以考虑其通过干道的起讫点（OD）路径。本文展示了包含八个交叉口的信号化干道实际运行结果。通过一系列宏观性能度量指标，按时段评估整体运行效能，不同指标呈现出差异性结论。随后，运用两种可视化工具——循环时空图（TSD）和经验车队推进图（PPD）——对运行细节进行了剖析。对比融合不同OD路径生成的流量可视化结果，揭示了若干特征。此外，生成了速度热力图，直观呈现沿干道的速度分布。所提出的可视化工具能够整体性表征干道性能，而非简单叠加单个信号性能指标。本研究展示的技术方法对于定位需工程解决方案的瓶颈点具有显著价值。近期无基础设施感知技术的进展显著拓展了基于CV数据的交通管理系统应用范围。本研究论证了CV轨迹数据在获取干道性能宏观细节并深入挖掘具体微观特征方面的实用性。