Traffic Signal Optimization by Integrating Reinforcement Learning and Digital Twins-Reference-Cited by-同舟云学术

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Traffic Signal Optimization by Integrating Reinforcement Learning and Digital Twins

Published:2023-08-28 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Smart World Congress (SWC)
language:
Short-container-title:

Author:

Kumarasamy Vijayalakshmi K¹,Saroj Abhilasha Jairam²,Liang Yu¹,Wu Dalei¹,Hunter Michael P.³,Guin Angshuman³,Sartipi Mina¹

Affiliation:

1. University of Tennessee at Chattanooga,Department of Computer Science and Engineering,USA

2. Oak Ridge National Laboratory,Applied Research for Mobility Systems,USA

3. Georgia Institute of Technology,School of Civil and Environmental Engineering,USA

Funder

Office of Energy Efficiency

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10447020/10448518/10448974.pdf?arnumber=10448974

Reference24 articles.

1. Ptv vissim,2022

2. Creating an intelligent transportation systems for atlanta’s first smart corridor

3. Digital twins and artificial intelligence in transportation infrastructure: Classification, application, and future research directions

4. Deep LSTM Recurrent Neural Networks for Arterial Traffic Volume Data Imputation

5. Deep reinforcement learning in transportation research: A review

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. LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios;Machine Learning;2024-07-15

2. Integration of Decentralized Graph-Based Multi-Agent Reinforcement Learning with Digital Twin for Traffic Signal Optimization;Symmetry;2024-04-07

3. Enhancing Prosthetic Hand Control: A Study on IMU Sensor-Based Machine Learning for Precise Hand Orientation Classification;SoutheastCon 2024;2024-03-15

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