This paper proposes a double pressure (DP) signal control strategy that takes into account finite link storage capacity. Two types of pressure measures, including an endogenous and an exogenous pressure, are defined. The endogenous pressure is associated with the estimated exit-flow during a signal phase in the next time period, while the exogenous pressure is a virtual pressure associated with the downstream links. The properties of the proposed signal control strategy, including localized waiting time minimization and queue length stabilization at each isolated intersection were discussed. The performance of the proposed signal control strategy was evaluated with two testing networks via simulation, including a network with an isolated signalized intersection and a network with multiple signalized intersections. We compared the performance of the proposed DP control strategy with three existing strategies, including the fixed signal control, adaptive signal control and a back-pressure algorithm based control strategy proposed by previous studies. The test results show promise of the proposed DP control strategy in improving network travel time and queue stability when compared with several state-of-art decentralized control strategies, even though we acknowledge that future efforts in extending the decentralized strategy towards a better system-wide coordination are warranted.

本文提出了一种双压力（DP）信号控制策略，该策略考虑了有限的链接存储容量。定义了两种类型的压力度量，包括内生压力和外生压力。在下一个时间段的信号阶段，内源性压力与估计的出口流量相关，而外源性压力是与下游链路相关的虚拟压力。讨论了所提出的信号控制策略的属性，包括局部等待时间最小化和每个孤立路口的队列长度稳定。拟议的信号控制策略的性能已通过仿真通过两个测试网络进行了评估，包括带有隔离信号交叉口的网络和带有多个信号交叉口的网络。我们将提出的DP控制策略的性能与现有的三种策略进行了比较，包括固定信号控制，自适应信号控制和先前研究提出的基于背压算法的控制策略。测试结果表明，与几种最新的分散式控制策略相比，所提出的DP控制策略有望改善网络传输时间和队列稳定性，尽管我们承认未来将分散式策略扩展到更好的系统范围的努力协调是必要的。