DefinePK

Abstract

Urban Heat Islands (UHI) amplifies the challenges of climate change, specifically in high populous cities such as Lahore-Pakistan. They are hotter than the surrounding rural areas leading to high energy demand, health risk and environmental degradation. This work aims to explore the potential of AI-driven traffic signal systems on the alleviation of the UHI effect through a decrease in vehicular emissions and traffic congestion. Based on a blend of quantitative and qualitative information, the study assesses how well AI (in traffic management) works and its potential contributions to green Lahore. Comparisons are made with other world cities including those that have successful implemented such system which emphasize the suitability of AI in a developing country. The results show that using AI can relieve traffic congestion effectively, reduce air pollution significantly in neighborhood level thus alleviate the UHI. The study also underscores barriers in the successful establishment of such systems in Lahore relating to infrastructure constraints, socio-economic considerations and policy support requirements. The study, in finally recommends the integration of AI-supported traffic management systems as a sustainable remediation measure to address issues of UHI and can be seen in relation with urban planning of other cities.
Keywords:Urban Heat Island, AI Traffic Signals, Lahore, Traffic Optimization, Climate Change Mitigation, Urban Planning, Emission Reduction