International Research Journal of Education and Technology

As cities expand, traffic congestion has become a significant issue for urban planning. Traditional traffic prediction methods often fall short in handling the complexity of urban environments, which involve dynamic factors such as traffic volume, road conditions, weather, and social events. Smart cities aim to tackle these challenges with advanced technologies, including IoT sensors, data analytics, and artificial intelligence. Deep learning, a powerful subset of AI, effectively processes large, complex datasets, making it a valuable tool for improving urban planning and traffic management.