Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

7-2022

Abstract

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. Source codes are available at https://github.com/ zyr17/UniLight.

Keywords

Transportation, traffic control, UniComm

Discipline

Databases and Information Systems | Operations Research, Systems Engineering and Industrial Engineering | Transportation

Research Areas

Data Science and Engineering

Publication

Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI '22): Vienna, July 23-29

First Page

3854

Last Page

3860

Publisher

AAAI Press

City or Country

Vienna, Austria

Additional URL

https://www.ijcai.org/proceedings/2022/535

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