Digital Twin-Based Smart Parking Management Research Topics
Urban areas face increasing parking challenges due to rising vehicle density, limited land availability, and operational inefficiencies in existing parking facilities. Traditional manual vehicle parking (VP) methods often result in underutilization and poor management of parking resources. This research explores the integration of Digital Twin (DT) technology , Building Information Modeling (BIM) , and machine vision to create an automated, intelligent parking management system. By leveraging real-time data and advanced detection algorithms, the study aims to enhance parking efficiency, monitoring, and visualization within urban built environments. Vehicle Detection and License Plate Recognition Integration A crucial aspect of the system is the use of YOLOv7 for vehicle detection (VD) and Deep Text Recognition–Scene Text Recognition (DTR-STR) for license plate recognition (LPR). These technologies allow for precise tracking of vehicles entering and exiting parking faciliti...