A New Deep Reinforcement Learning-Based Adaptive Traffic Light Control Approach for Isolated Intersection-Reference-Cited by-同舟云学术

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A New Deep Reinforcement Learning-Based Adaptive Traffic Light Control Approach for Isolated Intersection

Published:2022-11-29 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Symposium on Informatics and its Applications (ISIA)
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Author:

Haddad Tarek Amine¹,Hedjazi Djalal¹,Aouag Sofiane¹

Affiliation:

1. University of Batna 2,LaSTIC laboratory,Departement of Computer Science,Batna,Algeria,05078

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9993426/9992298/09993598.pdf?arnumber=9993598

Reference19 articles.

1. Incremental multistep Q-learning for adaptive traffic signal control based on delay minimization strategy

2. Simulation and optimization of traffic in a city

3. Q-learning method for controlling traffic signal phase time in a single intersection

4. Traffic Light Cycle Configuration of Single Intersection Based on Modified Q-Learning

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Intersection Signal Control Method with Deep Reinforcement Learning Based on Mixed Domain Attention;Computer Science and Application;2024

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