DCL-AIM : decentralized coordination learning of autonomous intersection management for connected and automated vehicles

DCL-AIM : decentralized coordination learning of autonomous intersection management for connected and automated vehicles

Conventional intersection managements, such as signalized intersections, may not necessarily be the optimal strategies when it comes to connected and automated vehicles (CAVs) environment. Autonomous intersection management (AIM) is tailored for CAVs aiming at replacing the conventional traffic cont...

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Bibliographic Details
Main Authors: Wu, Yuanyuan, Chen, Haipeng, Zhu, Feng
Other Authors: School of Civil and Environmental Engineering
Format: Journal Article
Language:English
Published: 2020
Subjects:
Engineering::Civil engineering
Multi-agent Coordination
Reinforcement Learning
Online Access:https://hdl.handle.net/10356/143864

Internet

https://hdl.handle.net/10356/143864

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