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Title |
Comparative Analysis of IoT Enabled Multi Scanning Parking Model for Prediction of Available Parking Space with Existing Models |
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Author |
Anchal and Pooja Mittal |
| Citation |
Vol. 22 No. 8 pp. 404-412 |
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Abstract |
The development in the field of the internet of things (IoT) have improved the quality of the life and also strengthened different areas in the society. All cities across the world are seeking to become smarter. The creation of a smart parking system is the essential use case in smart cities. In recent couple of years, the number of vehicles has increased significantly. As a result, it is critical to make the use of technology that enables hassle-free parking in both public and private spaces. In conventional parking systems, drivers are not able to find free parking space. Conventional systems requires more human interference in a parking lots. To manage these circumstances there is an intense need of IoT enabled parking solution that includes the well defined architecture that will contain the following components such as smart sensors, communication agreement and software solution. For implementing such a smart parking system in this paper we proposed a design of smart parking system and also compare it with convetional system. The proposed design utilizes sensors based on IoT and Data Mining techniques to handle real time management of the parking system. IoT enabled smart parking solution minimizes the human interference and also saves energy, money and time. |
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Keywords |
.IoT, IoT Enabled Smart Parking, Data Mining, Detection agent, Smart Parking Agent. |
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