DESIGN AND TESTING OF AUTOMATIC CAR PARKING USING PUZZLE LOGIC

Parking shortage in residential and commercial locations has become a major issue as urbanization rises, necessitating creative, space-saving solutions. In order to maximize car stacking in smaller areas, this study suggests an intelligent, puzzle-based parking system that makes use of a fuzzy Logic Controller (FLC). In contrast to traditional parking, the suggested solution uses a modular 2D/3D matrix lay out in which automated lifts are used to rearrange automobiles in order to optimize maximum density. Retrieval times are decreased by using the FLC to control slot allocation based on factors like vehicle dimensions and entry proximity. In order to address the requirement for high-density parking, this study outlines the design and development of an automated multilevel puzzle parking system. To reduce parking and urban traffic congestion, intelligent parking technologies are crucial. shortages. This study presents a smart puzzle-based parking system that uses fuzzy logic control to maximize parking space use. The development of intelligent parking systems with improved space use and operating efficiency is required due to the fast increase in urban vehicle density. The design and implementation of an autonomous parking system based on puzzle logic for the best possible vehicle layout in confined spaces are presented in this study. For real-time vehicle identification, positioning, and movement control, proxi mity sensors are interfaced with a microcontroller-based control architecture.