This paper explores the integration of Artificial Intelligence (AI) technologies into urban traffic control systems. Through simulation models and real-time data analysis, we demonstrate how AI can reduce congestion by 23% in high-density urban areas. The study highlights machine learning algorithms used for traffic prediction and adaptive signal control.
APA:
Rizwan, A., & Qureshi, H. (2025). A Study on AI-Powered Solutions for Urban Traffic Management. International Multidisciplinary Technologies Journal, 7(2), 112–126. https://doi.org/10.47277/imtj.2025.072112
MLA:
Rizwan, Amina, and Haris Qureshi. “A Study on AI-Powered Solutions for Urban Traffic Management.” International Multidisciplinary Technologies Journal, vol. 7, no. 2, 2025, pp. 112–126. DOI: 10.47277/imtj.2025.072112.
Advancing medical education through evidence-based learning