IOT Based Smart Parking System

Harmeet Khanuja¹ , Samruddhi Kalekar² , Prasad Narode³ , Sanket Sanap⁴ , Dnyaneshwar Giri⁵

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.6 , pp.50-52, Dec-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i6.5052

Online published on Dec 31, 2018

Copyright © Harmeet Khanuja, Samruddhi Kalekar, Prasad Narode, Sanket Sanap, Dnyaneshwar Giri . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
There are billions of motorized vehicles on the globe. As a result, it creates the need for an efficient parking system which manages the vehicle parking. But the present parking system has many problems such as high operation cost, heavy labor support, inefficient management of vehicles, time consuming process of issuing tokens, collecting money, inappropriate management of the parking slots etc. Thus we are trying to resolve the above stated issues by RFID based automatic parking system. It uses a microcontroller such as Raspberry Pi along with sensing circuits monitoring entry and exit of vehicles. The vehicles are allowed entry only when the reader senses a valid RFID tag at the gate. An account in central database is maintained corresponding to every valid RFID tag. It enables us to monitor and store the time of entry and exit of vehicle. Also an Android application is provided for user guidance. This database can also be analyzed to find patterns of days in which the need for parking was in demand. This system allows automatic authorization of vehicles with the help of RFID tags and RFID readers and provides a statistical representation of traffic prediction for a particular place. Security check is handled with minimum delay time so that traffic jam problem will be avoided during these processes. The user application provides timely notifications about the activities. These processes allow parking system to work efficiently and require less man power to manage the parking. Thus the cost of operating the parking system is significantly reduced.

Key-Words / Index Term :
IOT, RFID, regression, Raspberry Pi

References :
[1] Li Liu , Mohammed Khalilia , Huachun Tan , Peng Zhuang ,“Traffic pattern forecasting using time series analysis between spatially adjacent sensor clusters” In 2009 International Conference on Machine Learning and Cybernetics, Hebei, China, IEEE.
[2] Rakesh Kumar Lenka, Rabindra K. Barik, Nihal Kumar Das, Kriti Agarwal, Debesh Mohanty, Swati Vipsita, “PSPS: An IoT based predictive smart parking system”, 2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Co,mputer and Electronics (UPCON), Mathura, India, IEEE.
[3] Ibai Lana, Javier Del Ser, Manuel Velez ; Eleni I. Vlahogianni,”Road Traffic Forecasting: Recent Advances and New Challenges”, IEEE Intelligent Transportation Systems Magazine, Vol.10, Issue.2, 2018.