Scalable Reinforcement Learning Framework for Traffic Signal Control Under Communication Delays

Scalable Reinforcement Learning Framework for Traffic Signal Control Under Communication Delays

Vehicle-to-everything (V2X) technology is pivotal for enhancing road safety, traffic efficiency, and energy conservation through the communication of vehicles with their surrounding entities such as other vehicles, pedestrians, roadside infrastructure, and networks. Among these, traffic signal contr...

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Bibliographic Details
Main Authors: Aoyu Pang, Maonan Wang, Yirong Chen, Man-On Pun, Michael Lepech
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Vehicular Technology
Subjects:
Traffic signal control
scalable framework
historical-future data fusion
reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/10443835/

Internet

https://ieeexplore.ieee.org/document/10443835/

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