AI-Based IoT Solutions for Sustainable Urban Development

Authors

https://doi.org/10.48314/isti.v1i1.32

Abstract

Urbanization presents significant challenges for sustainability, necessitating innovative solutions. Integrating Artificial Intelligence (AI) with the Internet of Things (IoT) offers transformative potential for sustainable urban development. This paper examines AI-driven IoT applications in energy management, waste management, transportation, and urban planning. By analyzing case studies and current practices, we highlight the benefits and challenges of these technologies, concluding with recommendations for practical implementation in smart cities. 

Keywords:

Waste management, Transportation, Urban planning, Sustainability

References

  1. [1] Nations, U. (2018). World Urbanization Prospects: The 2018 Revision. https://population.un.org/wup/assets/WUP2018-Report.pdf
  2. [2] Mohapatra, H., & Rath, A. K. (2020). IoT-based smart water. In IOT technologies in smart-cities: From sensors to big data, security and trust (Vol. 63, pp. 63–82). IET.
  3. [3] Parida, B., Rath, A., & Mohapatra, H. (2022). Binary self-adaptive salp swarm optimization-based dynamic load balancing in cloud computing. International journal of information technology and web engineering, 17, 25. http://dx.doi.org/10.4018/IJITWE.295964
  4. [4] Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of things for smart cities. IEEE internet of things journal, 1(1), 22–32. https://doi.org/10.1109/JIOT.2014.2306328
  5. [5] Bhatt, J. G., & Jani, O. K. (2017). Smart grid: Energy backbone of smart city and E-democracy. In E-democracy for smart CITIES (pp. 319–366). Springer. https://doi.org/10.1007/978-981-10-4035-1_11
  6. [6] Ji, M. (2022). Sustainable, Smart and Solidary Seoul. Springer. https://www.amazon.com/Sustainable-Smart-Solidary-Seoul-Transforming/dp/3031135946
  7. [7] Keong, C. K., & Grace, O. N. G. (2015). Smart Mobility 2030–ITS strategic plan for Singapore. Land Transport Authority Of Singapore. https://esci-ksp.org/wp/wp-content/uploads/2012/06/J15Nov_p04Chin_SmartMobility2030.pdf
  8. [8] Mora, L., & Bolici, R. (2017). How to Become a Smart City: Learning from Amsterdam. In Smart and sustainable planning for cities and regions (pp. 251–266). http://dx.doi.org/10.1007/978-3-319-44899-2_15
  9. [9] Weber, R. H. (2010). Internet of Things – New security and privacy challenges. Computer law & security review, 26(1), 23–30. https://doi.org/10.1016/j.clsr.2009.11.008
  10. [10] Graham, S., & Marvin, S. (2002). Splintering urbanism: networked infrastructures, technological mobilities and the urban condition. Routledge. https://doi.org/10.4324/9780203452202
  11. [11] Caragliu, A., & Del Bo, C. (2023). Smart cities and the urban digital divide. Npj urban sustainability, 3(1). http://dx.doi.org/10.1038/s42949-023-00117-w

Downloads

Published

2024-12-27

Issue

Vol. 1 No. 1 (2024): Information Sciences and Technological Innovations

Section

Articles

How to Cite

AI-Based IoT Solutions for Sustainable Urban Development. (2024). Information Sciences and Technological Innovations, 1(1), 12-18. https://doi.org/10.48314/isti.v1i1.32

Similar Articles

You may also start an advanced similarity search for this article.