Collaborative Traffic Signal Automation Using Deep Q-Learning-Reference-Cited by-同舟云学术

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Collaborative Traffic Signal Automation Using Deep Q-Learning

Published:2023 Issue: Volume:11 Page:136015-136032
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hassan Muhammad Ahmed¹^ORCID,Elhadef Mourad²^ORCID,Khan Muhammad Usman Ghani¹^ORCID

Affiliation:

1. National Center for Artificial Intelligence, University of Engineering and Technology, Lahore, Lahore, Pakistan

2. Computer Science and Information Technology Department, College of Engineering, Abu Dhabi University, Abu Dhabi, United Arab Emirates

Funder

Office of Research and Sponsored Program, Abu Dhabi University, United Arab Emirates

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/ielx7/6287639/10005208/10311560.pdf?arnumber=10311560

Reference61 articles.

1. Signal Cooperative Control With Traffic Supply and Demand on a Single Intersection

2. Analysis of Cooperative Driving Strategies for Nonsignalized Intersections

3. Deep reinforcement learning for traffic light control in vehicular networks;Liang;arXiv:1803.11115,2018

4. Intersection Signal Timing Optimization: A Multi-Objective Evolutionary Algorithm

5. A Distributed Approach for Coordination of Traffic Signal Agents

Cited by 3 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. Path Planning for 4-Wheeled Omnidirectional Cellular Conveyor using Q-Learning Algorithm;2024 International Electronics Symposium (IES);2024-08-06

2. Enhancing Traffic Control Strategies through Dynamic Simulation and Reinforcement Learning;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

3. OAS Deep Q-Learning-Based Fast and Smooth Control Method for Traffic Signal Transition in Urban Arterial Tidal Lanes;Sensors;2024-03-13

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