International Journal Of Imaging

Abstract

Exploring Parking Occupancy Prediction Models: Analyzing Patterns for enhanced Urban Planning

Author: Jorrigala Kiranmai, Bhukya Abishek Nayak, Tatipamula Vamshi Krishna Goud, Mrs. M. Sandya Rani

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. Traditional urban parking systems typically involve the allocation of parking spaces based on fixed zones or manual entry. These systems often require drivers to search for available parking, leading to traffic congestion, wasted fuel, and unnecessary emissions. Furthermore, manual enforcement of parking rules leads to inefficiencies in managing parking space usage and improper parking practices. Current systems fail to provide real-time parking information, often leading to inefficient utilization o