Connected vehicle (CV) systems are at the core of intelligent transportation systems (ITS) for their capability to support a variety of ITS applications and to unite vehicles and infrastructure elements into a well-integrated transportation system. CV refers to vehicles that exchange information with each other and with the infrastructure. The queue warning application (Q-WARN) uses CV technologies to allow vehicles within the queue to broadcast their queued status information automatically to upstream vehicles and to infrastructure. Queue warnings are sent to oncoming vehicles to prevent rear-end or other secondary collisions. This paper focuses on Q-WARN applications for freight vehicles at signalized intersections adjacent to I-80 in Wyoming, which are characterized by heavy truck traffic. The algorithms use the latitude/longitude coordinates of freight CVs and intersections to form a communication link and to share information. Tests were performed in VISSIM microsimulation with Econolite ASC/3 software-in-the-loop controller emulator for different CV market penetration rates. Three locations in Wyoming were used as test-bed cases. The developed Q-WARN algorithms are successful in reducing vehicle delays by an average of 2% to 5%. Time to collision (TTC) significantly increased with an increase in CV rates, by two to five times. The abundance of information obtained from CVs can be used further to enhance signal control algorithms. The developed algorithms can easily be implemented in the field, since they use existing CV communication protocols and signal control logic.

联网车辆 (CV) 系统是智能交通系统 (ITS) 的核心，因为它们能够支持各种 ITS 应用并将车辆和基础设施元素整合到一个高度集成的交通系统中。CV 是指车辆之间以及与基础设施之间交换信息的车辆。队列警告应用程序 (Q-WARN) 使用 CV 技术允许队列中的车辆自动将其排队状态信息广播到上游车辆和基础设施。队列警告被发送到迎面而来的车辆，以防止追尾或其他二次碰撞。本文重点介绍了在怀俄明州 I-80 附近的信号交叉口的货运车辆的 Q-WARN 应用，这些交叉口的特点是卡车交通繁忙。这些算法使用货运 CV 和交叉路口的纬度/经度坐标来形成通信链接并共享信息。针对不同的 CV 市场渗透率，使用 Econolite ASC/3 软件在环控制器仿真器在 VISSIM 微观仿真中进行了测试。怀俄明州的三个地点被用作试验台。开发的 Q-WARN 算法成功地将车辆延误平均减少了 2% 到 5%。随着 CV 率的增加，碰撞时间 (TTC) 显着增加了两到五倍。从 CV 中获得的大量信息可进一步用于增强信号控制算法。开发的算法可以很容易地在现场实施，因为它们使用现有的 CV 通信协议和信号控制逻辑。