Multi Agent Reinforcement Learning System for Vehicular and Pedestrian Traffic Control with Visible Light Communication-Reference-Cited by-同舟云学术

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Multi Agent Reinforcement Learning System for Vehicular and Pedestrian Traffic Control with Visible Light Communication

Published:2024-07-05 Issue: Volume: Page:88-93
ISSN:
Container-title:2024 8th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE)
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Author:

Galvão Gonçalo¹,Vieira Manuela²,Louro Paula³,Vieira Manuel Augusto³,Véstias Mário⁴,Vieira Pedro¹

Affiliation:

1. ISEL-Polytechnic Institute of Lisbon,Lisbon,Portugal

2. NOVA School of Science and Technology,UNINOVA-CTS and LASI,ISEL-Polytechnic Institute of Lisbon,Lisbon,Portugal

3. ISEL-Polytechnic Institute of Lisbon,UNINOVA-CTS and LASI,Lisbon,Portugal

4. INESC-ID, IST, Un. de Lisboa,ISEL-Polytechnic Institute of Lisbon,Lisbon,Portugal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10624686/10624818/10625165.pdf?arnumber=10625165

Reference13 articles.

1. Introducing Connected Vehicles [Connected Vehicles]

2. Connected Vehicles: Solutions and Challenges

3. Connected and Autonomous Vehicles and Infrastructures: A Literature Review

4. Indoor visible light communications: challenges and prospects

5. A traffic light control method based on multi-agent deep reinforcement learning algorithm

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