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		<Title>PARKING LOT MANAGEMENT SYSTEM USING INTERNET OF THINGS</Title>
		<Author>1Dr.CH.Suresh, 2Davuluri Tulasi Sushma, 3Veesam Vijay Lakshmi Narasimha, 4Kundheti Madhu, 5Kottapalli Rohith</Author>
		<Volume>03</Volume>
		<Issue>04</Issue>
		<Abstract>Rapid urbanization and the increasing number of vehicles have made parking management a significant challenge in modern cities Inefficient parking systems lead to traffic congestion fuel wastage increased pollution and driver frustration Traditional parking systems rely heavily on manual monitoring where drivers search for vacant spaces resulting in time consumption and poor space utilization To address these issues this paper presents an intelligent Parking Lot Management System using Internet of Things IoT technology that enables realtime monitoring and efficient utilization of parking spaces The proposed system integrates IoT sensors microcontrollers and webbased applications to automate parking management Sensors installed in each parking slot detect the presence or absence of vehicles and transmit data to a central system The system processes this data and updates the parking status in real time A webbased interface developed using Flask allows users to view available parking slots instantly reducing the time spent searching for parking Additionally the system stores parking data in an SQLite database for monitoring and analysis The implementation uses lowcost sensors and scalable architecture making it suitable for deployment in various environments such as shopping malls airports hospitals and educational institutions The system ensures efficient space utilization reduces traffic congestion and enhances user convenience Experimental results demonstrate that the system achieves high accuracy in detecting parking availability with minimal response time Furthermore the system contributes to smart city initiatives by integrating IoT technologies with urban infrastructure Future enhancements may include mobile application integration automated payment systems and AIbased predictive parking analytics Overall the proposed IoTbased parking management system provides an efficient reliable and scalable solution to modern parking challenges improving traffic flow and user experience while reducing environmental impact</Abstract>
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<copyright-statement>Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved</copyright-statement>
<copyright-year>2026</copyright-year>
</permissions>
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