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Smart city article details
| Title | Iparking—Smart Way To Automate The Management Of The Parking System For A Smart City |
|---|---|
| ID_Doc | 34153 |
| Authors | Jayakody J.A.D.C.A.; Edirisinghe E.A.G.A.; Karunanayaka S.A.H.M.; Ekanayake E.M.C.S.; Dikkumbura H.K.T.M.; Bandara L.A.I.M. |
| Year | 2021 |
| Published | Cognitive Engineering for Next Generation Computing: A Practical Analytical Approach |
| DOI | http://dx.doi.org/10.1002/9781119711308.ch5 |
| Abstract | Due to the highest usage of vehicles which occurs with developing economy and the improved city modernization level, traffic congestion and parking have become one of the main social problems. Despite the progress, there is still a need for an enhanced and distributed solution that can exploit data and provide an appropriate and real-time method on parking systems. This paper describes the design and implementation of a smart parking management system (SPMS) which can solve the previously mentioned parking problem. Huge traffic causes a considerable deal of damage, like the increment of accidents, the air pollution caused by a substantial amount of CO2 released by vehicles, and the unnecessary stress on drivers who must drive in often narrow and very busy roads and time wastage to find a free spot to park. Thus, to take care of the parking issue, present day advances have been made to furnish vehicle parks with smart devices that help street clients to identify the nearest available car park. In this paper, the development of the new fully automated parking system which is called iParking is presented. IParking is a design and a development of a smart parking system that will ensure the implementation of the outdoor parking system for the Smart City concept by using image processing (IP) and machine learning (ML). With connected to smart parking, a mobile app alerts the user about available spaces and guide user to the exact location with accuracy. IParking system aims to take the driver's stress out while finding a parking space in city centers where all cars in the city are looking for parking slots in the same time. © 2021 Scrivener Publishing LLC. |
| Author Keywords | artificial neural networks; convolutional neural networks; internet of things; machine learning; short message services; Smart parking |
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