Smart Car Parking Mobile Application based on RFID and IoT

Authors

  • Aekarat Saeliw Faculty of Science and Industrial Technology, Prince of Songkla University, Surat Thani Campus, Thailand
  • Watcharasuda Hualkasin Faculty of Science and Industrial Technology, Prince of Songkla University, Surat Thani Campus, Thailand
  • Supattra Puttinaovarat Faculty of Science and Industrial Technology, Prince of Songkla University, Surat Thani Campus, Thailand
  • Kanit Khaimook Ramkhamhaeng University, Bangkok, Thailand

DOI:

https://doi.org/10.3991/ijim.v13i05.10096

Keywords:

Smart car parking, Mobile Application, IoT, RFID

Abstract


The common problem that is mostly found in urban area and the organizations service numbers of people such as government places, university, department store, and hospital, is the insufficient car parking. This problem is the result of the continuing increasing number of vehicle. Further, the car parking management is insufficient so the service users waste their time and fuel trying to look for the available parking. The objective of this research was to develop mobile application for smart car parking using Radio-Frequency Identification (RFID) and Internet of Thing (IoT) which can detect the available parking lot so it is time saving for people. Moreover, the parking area management is more efficient as it minimizes the limitation of traditional system which the users have to access web application which is unable to automatically alert when the parking lot status has changed. Further, the data can be applied to the management and planning such as analyzing numbers of vehicle daily to compare with the parking lot if it is sufficient or not in order to improve and provide more parking space appropriately.

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Published

2019-05-21

How to Cite

Saeliw, A., Hualkasin, W., Puttinaovarat, S., & Khaimook, K. (2019). Smart Car Parking Mobile Application based on RFID and IoT. International Journal of Interactive Mobile Technologies (iJIM), 13(05), pp. 4–14. https://doi.org/10.3991/ijim.v13i05.10096

Issue

Vol. 13 No. 05 (2019)

Section

Papers

License

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