ARCHIVES
Original Article
Implementation of a Smart City Traffic Flow and Signal Optimization
P. Gavaskar,1
K. Govindharaj,2
M. Ajay Kumar3
1 Assistant Professor, Department of Information Technology, PSV College of Engineering and Technology, Krishnagiri, Tamil Nadu, India. 2 3 UG Scholars, Department of Information Technology, PSV College of Engineering and Technology, Krishnagiri, Tamil Nadu, India.
Published Online: January-April 2026
Pages: 392-395
Cite this article
No DOIReferences
1. Chen, Q. et al. (2019) ‘A Survey on an Emerging Area: Deep Learning for Smart City Data’, IEEE Transactions on Emerging Topics
in Computational Intelligence, 3(5), pp. 392–410
2. Ashokkumar, C. et al. (2024) ‘Urban Traffic Management for Reduced Emissions: AI-based Adaptive Traffic Signal Control’,
Proceedings of the 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India, pp.
1609–1615.
3. Alruban, A. et al. (2024) ‘Artificial Hummingbird Optimization Algorithm With Hierarchical Deep Learning for Traffic Management
in Intelligent Transportation Systems’, IEEE Access, 12, pp. 17596– 17603.
4. Chen, Q. et al. (2019) ‘A Survey on an Emerging Area: Deep Learning for Smart City Data’, IEEE Transactions on Emerging Topics
in Computational Intelligence, 3(5), pp. 392–410.
5. Chen, L. et al. (2021) ‘Data-Driven C-RAN Optimization Exploiting Traffic and Mobility Dynamics of Mobile Users’, IEEE
Transactions on Mobile Computing, 20(5), pp. 1773–1788
in Computational Intelligence, 3(5), pp. 392–410
2. Ashokkumar, C. et al. (2024) ‘Urban Traffic Management for Reduced Emissions: AI-based Adaptive Traffic Signal Control’,
Proceedings of the 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India, pp.
1609–1615.
3. Alruban, A. et al. (2024) ‘Artificial Hummingbird Optimization Algorithm With Hierarchical Deep Learning for Traffic Management
in Intelligent Transportation Systems’, IEEE Access, 12, pp. 17596– 17603.
4. Chen, Q. et al. (2019) ‘A Survey on an Emerging Area: Deep Learning for Smart City Data’, IEEE Transactions on Emerging Topics
in Computational Intelligence, 3(5), pp. 392–410.
5. Chen, L. et al. (2021) ‘Data-Driven C-RAN Optimization Exploiting Traffic and Mobility Dynamics of Mobile Users’, IEEE
Transactions on Mobile Computing, 20(5), pp. 1773–1788
Related Articles
2026
Artificial Intelligence in Learning and Teaching
2026
Admin Assist: An AI – Driven Configuration and Orchestration for Enterprise Application
2026
Enhancing Blood Group Identification using pigeon inspired optimization: An Innovative Approach
2026
Eco-Genius: Power Up Smart, Power Down Waste
2026
Crowd-Sourced Disaster Response and Rescue Assistant
2026