A Reinforcement Learning-Based Distributed Control Scheme for Cooperative Intersection Traffic Control-Reference-Cited by-同舟云学术

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A Reinforcement Learning-Based Distributed Control Scheme for Cooperative Intersection Traffic Control

Published:2023 Issue: Volume:11 Page:57037-57045
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Guzmán José A.¹^ORCID,Pizarro Germán¹^ORCID,Núñez Felipe¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile

Funder

ANID under grants ANID BECA DE DOCTORADO NACIONAL CONICYT, A NO ACADÉMICO 2019

ANID PIA ACT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10144753.pdf?arnumber=10144753

Reference23 articles.

1. A biologically-inspired reinforcement learning based intelligent distributed flocking control for Multi-Agent Systems in presence of uncertain system and dynamic environment

2. Reinforcement learning facilitates an optimal interaction intensity for cooperation

3. A cyber-physical systems approach to collaborative intersection management and control;guzmán,2023

4. Graph WaveNet for Deep Spatial-Temporal Graph Modeling

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4. Traffic Light Control Using Reinforcement Learning;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

5. Towards robust car-following based on deep reinforcement learning;Transportation Research Part C: Emerging Technologies;2024-02

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