AI-Powered Vehicle Image Recognition Model for Sustainable and Smart Urban Traffic Management

Artificial Intelligence (AI) is rapidly transforming industries worldwide, offering new opportunities for urban planning, mobility management, and strategic governance. Among its most promising applications is the use of advanced image recognition techniques to optimize traffic systems and foster sustainable smart cities. This study presents the design and implementation of an AI-driven vehicle identification model that leverages object detection and classification through Convolutional Neural N