A Real-Time Cloud-Based Intelligent Car Parking System for Smart Cities
Document Type
Conference Proceeding
Publication Date
9-1-2019
Publication Title
2019 2nd IEEE International Conference on Information Communication and Signal Processing, ICICSP 2019
First Page
235
Keywords
Data Encryption Standard (DES) Algorithm, Intelligent Car Parking System, Internet-of-Things (IoT), Wireless Sensors
Last Page
240
Abstract
© 2019 IEEE. Nowadays, parking space shortages and traffic congestion are two issues that all drivers are facing in large cities around the world. Due to the growing number of vehicles and the mismanagement of available parking spaces, heavy traffic in crowded cities are severe. Therefore, there is a compelling urge for an intelligent and efficient car parking system which can be used for managing the limited parking spaces, thereby saving on time, cost, and fuel. In this paper, a secure and reliable cloud-based intelligent car parking system based on Internet-of-Things (IoT) technology for smart cities is presented. Integrated on-site data collection using wireless sensors along with real-time and streaming data analytics on data from IoT are investigated to dynamically check the availability of parking spaces in different parking areas and address the above-mentioned challenges.
DOI
10.1109/ICICSP48821.2019.8958543
Recommended Citation
Mohammadi, Fazel; Nazri, Gholam Abbas; and Saif, Mehrdad. (2019). A Real-Time Cloud-Based Intelligent Car Parking System for Smart Cities. 2019 2nd IEEE International Conference on Information Communication and Signal Processing, ICICSP 2019, 235-240.
https://scholar.uwindsor.ca/electricalengpub/29