  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.
