Main Article Content
With rapid increase in population in urban cities, availability of parking space is real issue. This parking issue lead to traffic and encroachment of roads for parking. With implementation of smart cities is real time development, smart parking is integral part of this development. Intelligent parking system describe in this paper solve the parking issue and fits in the smart city development, this system is based on cloud-based parking system where user is able to get location of parking spot with helps sensors network and cloud computing. The user is updated with real time data of available parking spot near their destination, and they can choose the spot according to their convenience. The main components of the system are sensor layer, hardware layer, cloud layer and application layer. The sensor layer is controlled by Arduino board or other system on chip which manages the data collected by sensors, this data is sent to cloud through hardware layer cloud layer manages the data accordingly and data is sent to users’ application on the reception of request through application. This interconnection of all the layers is main aspect of IoT (Internet of Things). This system will help user to get the spot in hassle free and quick way.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Rudin-Brown, C.M. ‘Intelligent’ in-vehicle intelligent transport systems: Limiting behavioural adaptation through adaptive design. IET Intell. Transp. Syst. 2010, 4, 252–261.
Chi, Q., Yan, H., Zhang, C., Pang, Z., & Da Xu, L. (2014). A reconfigurable smart sensor interface for industrial WSN in IoT environment. IEEE transactions on industrial informatics, 10(2), 1417-1425.
Mustapha, B., Zayegh, A., & Begg, R. K. (2013, December). Ultrasonic and infrared sensors performance in a wireless obstacle detection system. In Artificial Intelligence, Modelling and Simulation (AIMS), 2013 1st International Conference on (pp. 487-492). IEEE.
Badamasi, Y. A. (2014, September). The working principle of an Arduino. In Electronics, computer and computation (icecco), 2014 11th international conference on (pp. 1-4). IEEE.
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., ... & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58.
Inmon, W. H., & Hackathorn, R. D. (1994). Using the data warehouse (Vol. 2). New York: Wiley.
Di Lecce, V., & Amato, A. (2011). Route planning and user interface for an advanced intelligent transport system. IET intelligent transport systems, 5(3), 149-158.
Baus, J., Krüger, A., & Wahlster, W. (2002, January). A resource-adaptive mobile navigation system. In Proceedings of the 7th international conference on Intelligent user interfaces (pp. 15-22). ACM.
Pham, T. N., Tsai, M. F., Nguyen, D. B., Dow, C. R., & Deng, D. J. (2015). A cloud-based smart-parking system based on Internet-of-Things technologies. IEEE Access, 3, 1581-1591.
Geng, Y., & Cassandras, C. G. (2011, October). A new “smart parking” system based on optimal resource allocation and reservations. In Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on (pp. 979-984). IEEE.