Smart Traffic Management and Optimization System Using Cloud Computing

  • Unique Paper ID: 162540
  • Volume: 10
  • Issue: 10
  • PageNo: 384-390
  • Abstract:
  • : In modern urban landscapes, the burgeoning challenges of traffic congestion, inefficient transit systems, and environmental impact necessitate innovative solutions for smarter traffic management. This abstract presents a comprehensive approach to address these challenges by leveraging the capabilities of cloud computing in a smart traffic management and optimization system. Integrating real-time data collection from diverse sources such as sensors, cameras, and iot devices, this system harnesses the power of cloud-based infrastructure for storage, processing, and analysis. Through predictive algorithms, traffic prediction models, and adaptive control mechanisms, the system aims to forecast traffic patterns, minimize congestion, and optimize traffic flow dynamically.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{162540,
        author = {Parise Vaasanthi and Karan Rathod and Banala Thanush and S.Indhumathi},
        title = {Smart Traffic Management and Optimization System Using Cloud Computing},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {10},
        pages = {384-390},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=162540},
        abstract = {: In modern urban landscapes, the burgeoning challenges of traffic congestion, inefficient transit systems, and environmental impact necessitate innovative solutions for smarter traffic management. This abstract presents a comprehensive approach to address these challenges by leveraging the capabilities of cloud computing in a smart traffic management and optimization system. Integrating real-time data collection from diverse sources such as sensors, cameras, and iot devices, this system harnesses the power of cloud-based infrastructure for storage, processing, and analysis. Through predictive algorithms, traffic prediction models, and adaptive control mechanisms, the system aims to forecast traffic patterns, minimize congestion, and optimize traffic flow dynamically.},
        keywords = {},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 10
  • PageNo: 384-390

Smart Traffic Management and Optimization System Using Cloud Computing

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