Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The idea of a smart city has gained popularity recently. The Smart Parking facility is one of the crucial aspects of having a smart city. Finding a specific spot to park our car becomes a bothersome problem. Additionally, the number of automobiles continues to increase quickly every day. It has been observed that drivers struggle to find a safe stopping distance without considering where available parking spaces are. The demand for parking spaces causes traffic congestion and excessive fuel usage to grow. Numerous technologies were developed to help with the problem, but they weren't all successful due to differences in cost, effectiveness, power, precision, and other aspects. In this study, we used a Raspberry Pi to construct a prototype of an unique smart parking framework for an urban area based on reservations using the Internet of Things (IoT). The technology notifies users in real-time of the closest parking area and provides information on the availability of parking spaces there. It primarily focuses on reducing the amount of time spent looking for a parking space and allowing users to avoid spaces that are already occupied. For real-time parking spot monitoring, an ultrasonic sensor or an infrared sensor is used. The data collected by the sensor is sent to the NODEMCU ESP8266, which then sends it to a web page over the internet. By showing the open spots, the website will assist users in finding parking spaces. As a result, it minimizes fuel usage, which in turn lowers environmental carbon footprints.
"A Smart Parking System Using IoT: A Need of Time for Smart City", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 4, page no.93 - 95, April-2022, Available :http://www.ijrti.org/papers/IJRTI2204016.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator