Through wireless communications, enriched information from connected vehicles (CVs) can describe traffic information near an intersection and would supplement a data source for an effective signal control. This paper proposes an adaptive traffic signal control system in a CV environment. At the intersection level, an adaptive control model is developed to assign optimal green times by minimizing the total vehicle delay. When the CV penetration rate is low, a method depending on limited CV data is presented to estimate the vehicle arrival information. At the corridor level, a real-time optimization model is formulated to design the dynamic progression plan for critical paths (i.e. paths with high flows). These two optimization models are solved by the dynamic programming technique. A real-world arterial is modeled in VISSIM to evaluate the effectiveness and efficiency of the proposed traffic signal control system. Simulations with various CV penetration rates and demand levels are conducted to compare the proposed system with fixed coordination and adaptive signal control systems. Results indicate that the proposed system outperforms both base systems by reducing 15.67% and 13.81% of the average delay, respectively, when the CV penetration rate is relatively high. Moreover, the proposed system can improve the arterial performance under all tested scenarios with various CV penetration rates and demand levels. Since the tested demand scenarios can reflect the real traffic fluctuations, it can be proved that the proposed control system could be applied in the field to boost the overall traffic efficiency along the arterial.

通过无线通信，来自互联车辆（CV）的丰富信息可以描述十字路口附近的交通信息，并将补充数据源以进行有效的信号控制。本文提出了一种在CV环境下的自适应交通信号控制系统。在交叉路口，开发了一种自适应控制模型，以通过最大程度地减少车辆总延迟来分配最佳绿灯时间。当CV渗透率较低时，将提出一种基于有限CV数据的方法来估算车辆到达信息。在走廊一级，制定了实时优化模型以设计关键路径（即流量大的路径）的动态进度计划。这两个优化模型是通过动态编程技术解决的。在VISSIM中对真实世界的动脉建模，以评估所提议的交通信号控制系统的有效性和效率。进行了各种CV穿透率和需求水平的仿真，以将建议的系统与固定协调和自适应信号控制系统进行比较。结果表明，当CV渗透率相对较高时，所建议的系统通过分别降低平均延迟的15.67％和13.81％来优于两个基本系统。此外，所提出的系统可以在各种CV穿透率和需求水平的情况下，在所有测试情况下改善动脉性能。由于经过测试的需求情景可以反映实际的交通波动，因此可以证明，所提出的控制系统可以在现场应用，以提高沿动脉的总体交通效率。