Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)

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Sustainable Artificial Intelligence Orchestrated Urban Planning Models with Digital Twin Technology for Smart Cities and Green Development

Authors
Purushotham Endla1, *, Sathya Kannan2, M. Adhiyaman3, Kothuri Parashu Ramulu4, B. BVenkata Charan Kumar5, M. Hemamalini6
1Department of Physics, School of Sciences and Humanities, SR University, Warangal, Telangana, India
2Sr AI Developer, John Deere Pl, Moline, IL, 61265, USA
3Assistant Professor, Department of Civil, Sona College of Technology, Salem, Tamil Nadu, India
4Associate Professor, Department of Computer Science and Engineering, Indur Institute of Engineering and Technology, Ponnal, Telangana, India
5Assistant Professor, Department of Computer Science and Engineering-Data Science, SanthiRam Engineering College, Nandyal, Andhra Pradesh, India
6Assistant Professor, Department of Tamil, New Prince Shri Bhavani College of Engineering and Technology, Chennai, Tamil Nadu, India
*Corresponding author. Email: psm45456@gmail.com
Corresponding Author
Purushotham Endla
Available Online 23 May 2025.
DOI
10.2991/978-94-6463-718-2_88How to use a DOI?
Keywords
Artificial Intelligence; Digital Twin; Smart Cities; Sustainable Urban Planning; AI-driven Decision Making; Energy-efficient AI
Abstract

In the evolution of smart cities and green sustainability, Artificial Intelligence (AI) and Digital Twins are strongly complementing each other for rapid advances in the urban environment. Challenges like data limitations, workload restrictions, data security, and cybersecurity are creating space for innovative changes to AI efficiency, privacy-centric frameworks, and energy optimized solutions. The technologies such as AI-enabled decision-making allow for advance predictive behaviours, infusing urban planning with an adaptive element that reflects the local demand. Responsible AI policy evolution enables ethical governance, while cybersecurity advancements and human-centric AI development facilitate resilience and inclusivity. Interoperability improvements Feed the Future Where international trade in crops and livestock is a model of efficiency, and AI for agricultural crops and livestock are united. It also suggests ways in which AI-powered urban planning models can not only help to overcome their shortcomings, but also create entirely new possibilities for the sustainable, scalable and resilient development of smart cities.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
Series
Advances in Computer Science Research
Publication Date
23 May 2025
ISBN
978-94-6463-718-2
ISSN
2352-538X
DOI
10.2991/978-94-6463-718-2_88How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Purushotham Endla
AU  - Sathya Kannan
AU  - M. Adhiyaman
AU  - Kothuri Parashu Ramulu
AU  - B. BVenkata Charan Kumar
AU  - M. Hemamalini
PY  - 2025
DA  - 2025/05/23
TI  - Sustainable Artificial Intelligence Orchestrated Urban Planning Models with Digital Twin Technology for Smart Cities and Green Development
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 1044
EP  - 1058
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_88
DO  - 10.2991/978-94-6463-718-2_88
ID  - Endla2025
ER  -