An approach for smart parking system based on cloud using IoT

• Autorzy: Deshpande Swapna S. , Gound Renuka S.

Identyfikatory

DOI

10.15439/2017R80

• Konferencja: The Second International Conference on Research in Intelligent and Computing in Engineering
• Języki publikacji: EN

Abstrakty

EN

In the most of the modern cities it is difficult and expensive to create more parking spaces for vehicles since the numbers of vehicles are running on the road are increasing day by day and the count of the free spaces in the cities are the same. This problem leads to congestion for parking seekers and drivers. To develop an IoT framework that targets Parking Management which is biggest challenges in modern cities. Using embedded systems, there is a chance to develop an application which can solve these problems. The proposed smart parking solution gives an on-site deployment in which, IoT application monitors and indicate the availability of each parking space. This system helps in improvising the management of parking system by following rules of the government, for example handling different parking spaces in the city. The intuition of presenting this paper is to reduce smart city issue such as the traffic on road and reduces the pollution in the city and the parking.

Słowa kluczowe

EN

Cloud; Internet of Things; MQTT; Raspberry pi; Parking

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2017
• Tom: Vol. 10
• Strony: 161--163
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Deshpande Swapna S.

• Department of Information Technology Pimpri Chinchwad College of Engineering Pune, India

autor

Gound Renuka S.

• Department of Information Technology Pimpri Chinchwad College of Engineering Pune, India

Bibliografia

• 1. Gupte, S., & Younis, M. (2015). Participatory-sensing-enabled Efficient Parking Management in Modern Cities, 241–244.
• 2. Rico, J., Sancho, J., Cendón, B., & Camus, M. (2013). Parking easier by using context information of a Smart City Enabling fast search and management of parking resources, 1380–1385. https://doi.org/10.1109/WAINA.2013.150
• 3. Khanna, A. (2016). IoT based Smart Parking System, 266–270.
• 4. Grodi, R., & Rios-gutierrez, F. (2016). Smart Parking : Parking Occupancy Monitoring and Visualization System for Smart Cities, 1-5.
• 5. Yosafat, J. (2014). Parking Guidance System Based on Real Time Operating System, (August), 28-31.
• 6. Vujović, V., & Maksimović, M. (2014). Raspberry Pi as a Wireless Sensor node: Performances and constraints. 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2014 - Proceedings, (May), 1013-1018. https://doi.org/10.1109/MIPRO.2014.6859717
• 7. Srikanth, S. V., Pramod, P. J., Dileep, K. P., Tapas, S., Patil, M. U., & Babu N, S. C. (2009). Design and implementation of a prototype smart parking (SPARK) system using wireless sensor networks. Proceedings International Conference on Advanced Information Networking and Applications, AINA, 401-406. https://doi.org/10.1109/WAINA.2009.53
• 8. Kianpisheh, A., Mustaffa, N., Limtrairut, P., & Keikhosrokiani, P. (2012). Smart Parking System (SPS) architecture using ultrasonic detector. International Journal of Software Engineering and Its Applications, 6(3), 51-58.
• 9. Boda, V. K., Nasipuri, A., & Howitt, I. (2007). Design considerations for a wireless sensor network for locating parking spaces. Conference Proceedings - IEEE SOUTHEASTCON, 698-703. https://doi.org/10.1109/SECON.2007.342990