ENHANCING URBAN PARKING EFFICIENCY THROUGH MACHINE LEARNING MODEL INTEGRATION

Abstract

Urban parking systems have long been an integral part of city infrastructure, evolving over time to accommodate growing urban populations and increasing vehicle ownership. Traditional parking management systems relied on static signage, manual enforcement, and limited data collection, making it difficult to efficiently allocate parking resources. With the rise of smart technologies, the parking industry has gradually shifted towards automated systems and digital solutions.