An IoT-based smart parking management system
by Inhwan Jung
International Journal of Computational Vision and Robotics (IJCVR), Vol. 10, No. 2, 2020

Abstract: In this paper, the author implemented smart parking information management system based on IoT using ultrasonic parking sensor and Bluetooth beacon. Ultrasonic IoT sensors used for parking sensing are controlled by the Arduino board to collect parking sensing data, and the collected parking information is transmitted to the server in real time using the MQTT protocol. The server stores the parking information in the database and provides the vehicle driver with real-time parking status using the MQTT protocol. The driver starts the smartphone app in the parking lot and enters the parking lot. The smartphone automatically recognises which parking space using the Bluetooth beacon signal at the entrance of the parking lot and can confirm the parking information of the parking space to be parked at a glance by communicating with the server. The parking management system implemented in this study not only helps the driver to park the car but also uses the real-time parking information stored in the database to obtain marketing information such as hourly, daily or monthly number of visiting customers and average shopping time.

Online publication date: Mon, 09-Mar-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Vision and Robotics (IJCVR):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com