IoT based Smart Parking Management System
J. Cynthia1, C. Bharathi Priya2, P. A. Gopinath3
1Dr. J. Cynthia, Professor, Department of Computer Science, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
2C. Bharathi Priya, Assistant Professor, Department of Computer Science, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
3P A Gopinath, PG Student, Department of Computer Science, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 14 December 2018 | Revised Manuscript received on 25 December 2018 | Manuscript Published on 09 January 2019 | PP: 374-379 | Volume-7 Issue-4S November 2018 | Retrieval Number: E1996017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this fast-growing economy, the number of vehicle users increases exponentially demanding more parking space. Pervasive presence of smart phone encourages users to prefer mobile application based solutions. Growth of IoT has paved way for integration of mobile devices, wireless communication technologies and mobile Applications. This paper proposes an IoT based Smart parking system that integrates with mobile Application. It provides a comprehensive parking solution both for the user and owner of the parking space. Features are provided for reserving a parking space, authenticating a reserved user, identifying nearest free space depending on the size of the vehicle, navigating to the parking slot and computes accounts information on daily, weekly and monthly basis. IR sensors are used to identify if a parking spot is free. Availability of a free slot with its location information is transmitted using WIFI module technology, microcontroller and wireless communication technology to the server and is retrieved though a mobile application. RFID tag attached to a vehicle is used to authenticate a user who reserves the parking slot on a hourly, daily, weekly or monthly basis. A scheduling algorithm is used to identify the nearest free slot based on the size of a vehicle. The owner of the parking space can get the analytics of the number of free and available slots for a given period, the occupancy rate on week days and weekend and the amount collected for a given period and can use it for fixing variable parking fees. The mobile application is designed to provide rich customer experience.
Keywords: Smart Parking, IoT, Mobile Application, RFID, Analytics.
Scope of the Article: IoT