Intelligent Traffic Signal Automation Based on Computer Vision Techniques Using Deep Learning

Author:

Ubaid Muhammad Talha1ORCID,Saba Tanzila2ORCID,Draz Hafiz Umer1,Rehman Amjad2ORCID,Ghani Muhammad Usman1,Kolivand Hoshang3

Affiliation:

1. Al Khawarizmi Institute of Computer Science, University of Engineering and Technology, Lahore, Pakistan

2. Artificial Intelligence & Data Analytics Lab CCIS, Prince Sultan University, Riyadh, Saudi Arabia

3. School of Computer Science and Mathematics, Liverpool John Moores University, Liverpool, U.K.

Funder

National Center of Artificial Intelligence

Artificial Intellignece & Data Anlaytics Research Laboratory CCIS Prince Sultan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Hardware and Architecture,Software

Cited by 12 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. Framework for Adaptive Traffic Light System;2024 Intelligent Methods, Systems, and Applications (IMSA);2024-07-13

2. Enhanced HAR using Dynamic STGAT;International Journal of Innovative Science and Research Technology (IJISRT);2024-03-28

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

4. Multi-Scale Adaptive Graph Convolution Network for Skeleton-Based Action Recognition;IEEE Access;2024

5. Enhancing Traffic Intelligence in Smart Cities Using Sustainable Deep Radial Function;Sustainability;2023-10-03

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