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iParking: An Intelligent Android-Cloud Based Smart Parking Reservation System Using Smart Phones Supportive to Smart City

iParking: An Intelligent Android-Cloud Based Smart Parking Reservation System Using Smart Phones Supportive to Smart City

Ankita Khadsare, Gauri Jadhav, Sayali Mali, Shivani Nanaware
Copyright: © 2017 |Volume: 8 |Issue: 2 |Pages: 24
ISSN: 1947-9093|EISSN: 1947-9107|EISBN13: 9781522513384|DOI: 10.4018/IJSE.2017070101
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MLA

Khadsare, Ankita, et al. "iParking: An Intelligent Android-Cloud Based Smart Parking Reservation System Using Smart Phones Supportive to Smart City." IJSE vol.8, no.2 2017: pp.1-24. http://doi.org/10.4018/IJSE.2017070101

APA

Khadsare, A., Jadhav, G., Mali, S., & Nanaware, S. (2017). iParking: An Intelligent Android-Cloud Based Smart Parking Reservation System Using Smart Phones Supportive to Smart City. International Journal of Synthetic Emotions (IJSE), 8(2), 1-24. http://doi.org/10.4018/IJSE.2017070101

Chicago

Khadsare, Ankita, et al. "iParking: An Intelligent Android-Cloud Based Smart Parking Reservation System Using Smart Phones Supportive to Smart City," International Journal of Synthetic Emotions (IJSE) 8, no.2: 1-24. http://doi.org/10.4018/IJSE.2017070101

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Abstract

Finding a parking in most of the metropolitan areas, especially during the rush hours, is difficult for drivers nowadays. The iParking system proposed in this paper allows drivers to find and reserve the vacant parking slots through their smartphones and additionally support the principles of “Smart City.” The design and implementation of this proposed system called Reservation Based Smart Parking System (RSPS) is based on cloud computing and android application and finds availability of nearest parking slots. The objective is to reduce the time in finding the parking lots and avoid unnecessary traveling. The technology proposed in this paper is Infrared Sensors (IR Sensors) used for detecting the occupancy of parking slots. The iParking uses Radio Frequency Identification Devices (RFID) to identify and track a car. The methodology proposed in this paper can easily be compared with existing parking system in terms of reducing the fuel consumption.

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