How to coordinate the communication among intersections effectively in real complex traffic scenarios with multi-intersection is challenging. Existing approaches only enable the communication in a heuristic manner without considering the content/importance of information to be shared. In this paper, we propose a universal communication form UniComm between intersections. UniComm embeds massive observations collected at one agent into crucial predictions of their impact on its neighbors, which improves the communication efficiency and is universal across existing methods. We also propose a concise network UniLight to make full use of communications enabled by UniComm. Experimental results on real datasets demonstrate that UniComm universally improves the performance of existing state-of-the-art methods, and UniLight significantly outperforms existing methods on a wide range of traffic situations.

该研究提出了一种名为UniComm的通信形式，该形式有效地协调了多个交叉口之间的通信，并提出了一种名为UniLight的简洁网络，可充分利用UniComm所激活的通信。实验结果表明，UniComm普遍改善了现有最先进方法的表现，而UniLight在广泛的交通情况下显著优于现有方法。

多智能体强化学习通过通用通信方法进行交通信号控制