Cognitive-Based Smart City

  • Unique Paper ID: 192274
  • Volume: 12
  • Issue: 9
  • PageNo: 1974-1982
  • Abstract:
  • Urban growth has seen the emergence of great sustainability and resource management issues in cities which in turn have affected public safety. To that end we see in cognitive based smart cities a very promising solution that is put forth by the use of artificial intelligence (AI) and machine learning (ML) the Internet of Things (IoT) and data analytics that in turn create what is called an intelligent self-learning urban ecosystem. What we have here is a collection of which real time data is collected from sensors, cameras and connected devices. This info is used for predictive decision making that in turn improves energy use, transportation, waste management and environmental monitoring. Also included in this is the issue of AI powered surveillance with facial recognition for greater security, traffic management that is dynamic in its approach to reducing traffic jams, improved cyber security to battle new digital threats, and smart public transit for better mobility options. Environmental monitoring also sees the play of AI in the detection and prediction of pollution or disaster which in turn allows for early action. Urban travel is made more efficient by connected autonomous vehicles and Mobility-as-a-Service platforms. Nonetheless, issues like public acceptance, high implementation costs, and data privacy continue to exist. With an emphasis on moral leadership and robust privacy safeguards, future advancements aim to extend cognitive intelligence into sectors like healthcare and energy. Cognitive intelligence can help smart cities become more sustainable, safe, and efficient, enhancing the quality of life for city dwellers and fostering resilient, long-term growth.

Copyright & License

Copyright © 2026 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{192274,
        author = {Inkollu Nithish Babu and Marthala Vag Vikas Reddy and Sunkara Geeta Gokul Sai Koushik and Yerra Keerthan Sri Harsha},
        title = {Cognitive-Based Smart City},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {1974-1982},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192274},
        abstract = {Urban growth has seen the emergence of great sustainability and resource management issues in cities which in turn have affected public safety. To that end we see in cognitive based smart cities a very promising solution that is put forth by the use of artificial intelligence (AI) and machine learning (ML) the Internet of Things (IoT) and data analytics that in turn create what is called an intelligent self-learning urban ecosystem. What we have here is a collection of which real time data is collected from sensors, cameras and connected devices. This info is used for predictive decision making that in turn improves energy use, transportation, waste management and environmental monitoring. Also included in this is the issue of AI powered surveillance with facial recognition for greater security, traffic management that is dynamic in its approach to reducing traffic jams, improved cyber security to battle new digital threats, and smart public transit for better mobility options. Environmental monitoring also sees the play of AI in the detection and prediction of pollution or disaster which in turn allows for early action. Urban travel is made more efficient by connected autonomous vehicles and Mobility-as-a-Service platforms. Nonetheless, issues like public acceptance, high implementation costs, and data privacy continue to exist. With an emphasis on moral leadership and robust privacy safeguards, future advancements aim to extend cognitive intelligence into sectors like healthcare and energy. Cognitive intelligence can help smart cities become more sustainable, safe, and efficient, enhancing the quality of life for city dwellers and fostering resilient, long-term growth.},
        keywords = {},
        month = {February},
        }

Cite This Article

Babu, I. N., & Reddy, M. V. V., & Koushik, S. G. G. S., & Harsha, Y. K. S. (2026). Cognitive-Based Smart City. International Journal of Innovative Research in Technology (IJIRT), 12(9), 1974–1982.

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