Smart Infrastructure Engineering: Integrating IoT, AI, and Predictive Analytics for Modern Urban Development

Authors

  • Muhammad Usman Department of Mechanical Engineering, University of Engineering and Technology, Lahore, Pakistan

Keywords:

Intelligent infrastructure, Internet of Things (IoT), Artificial Intelligence (AI), prediction analytics, metropolis engineering, structural surveillance, facts-pushed design, sustainable cities, site visitors optimization, energy performance

Abstract

The high speed urbanization of twenty first century has thrown unprecedented challenges to infrastructure engineering. Conventional approach to design, construction, and defense are less and less adequate to meet the requirements of high-density urban environment. In response, a revolutionary methodology has emerged, smart infrastructure engineering, leveraging the integration of Internet of Things (IoTs), Artificial Intelligence (AIs) and forecasting analytics to maximize the life cycle of structures in the urban environment. This article focuses on the role of smart infrastructure in improving the performance, safety, and sustainability of advanced towns. IoT-based sensors and monitoring devices would give important real-time data on structural condition, visitors flow, power consumption, and environmental conditions. When paired with AI algorithms and predictive analytics, this data enables engineers to count on the failures, they can maximize the distribution of assistance and implement a proactive renovation policy. The overview of reviews discusses contemporary literature on the smart city infrastructure topics with focus on transport networks, smart homes, power grids and water regulating structures successful programs. Furthermore, the strategy consists of both computational modeling and case studies that help demonstrate how decisions based on statistical data can lead to improvements in performance and a reduction in operating costs. Findings suggest that wise infrastructure is now no longer solely improving the reliability of machines and strengthening resilience to natural disasters but also converting environmental footprint to minimum and bettering sustainable city growth. Challenges are on the same part through excessively starting speculations, cybersecurity issues and the require for cross-disciplinary cooperation. However, the integration of IoT, AI, and prescient analytics, may be a wholesome worldview move in building hone, empowering the capacity to transform city advancement and administration. Embracing that innovation, towns can get to be versatile, green, and economical environments able of get together predetermination needs.

Downloads

Published

2025-06-30

How to Cite

Usman, M. (2025). Smart Infrastructure Engineering: Integrating IoT, AI, and Predictive Analytics for Modern Urban Development. Turing Ledger Journal of Engineering & Technology, 1(2), 45–57. Retrieved from https://scholarclub.org/index.php/TLJET/article/view/63