Skip to main content

Mobile Application for Smart Parking Systems

  • Conference paper
  • First Online:
Smart Data Intelligence

Abstract

A smart parking system is an application that can help users get information about the available parking spaces in a place. In a smart parking system, there are implications of several technologies that can solve problems in the parking system. The use of the Internet of Things is done by connecting sensor devices scattered in each parking lot to the Internet network, and then, data from each sensor will be stored on the server. To connect the sensor to the Internet network requires a component device such as the ESP8266-01. This tool helps Arduino to connect to the Internet network. So that it can facilitate the communication between the sensor device and the server to store parking lot data into a database that users will access to obtain information about the parking lot.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 299.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Mingardo G, Vermeulen S, Bornioli A (2022) Parking pricing strategies and behaviour: evidence from the Netherlands. Transp Res Part A: Policy Pract 157:185–197

    Google Scholar 

  2. Vivekanadam B (2021) Smart parking with fair selection and imposing higher privacy constraints in parking owner and driver information. J Sustain Wireless Syst 3(1):11–20

    Article  Google Scholar 

  3. Gore S, Kadam S, Mallayanmath S, Jhadav S (2016) Review on programming ESP8266 with over the air programming capability. Int J Eng Sci 7(4):6684–6686

    Google Scholar 

  4. Lockridge G, Dzwonkowski B, Nelson R, Power S (2016) Development of a low-cost arduino-based sonde for coastal applications. Sensors 16(4)

    Google Scholar 

  5. Singh SK, Pan Y, Park JH (2022) Blockchain-enabled secure framework for energy-efficient smart parking in sustainable city environment. Sustain Cities Soc 76:103364

    Article  Google Scholar 

  6. Lin YH (2019) Novel smart home system architecture facilitated with distributed and embedded flexible edge analytics in demand-side management. Int Trans Electr Energy Syst 1–21

    Google Scholar 

  7. Iacobescu C, Oltean G, Florea C, Burtea B (2022) Unified interplanetary smart parking network for maximum end-user flexibility. Sensors 22(1):221

    Article  Google Scholar 

  8. Adarsh S, Kaleemuddin SM, Bose D, Ramachandran K (2016) Performance comparison of Infrared and Ultrasonic sensors for obstacles of different materials in vehicle/robot navigation applications. IOP Conf Ser: Mater Sci Eng 20:149

    Google Scholar 

  9. Manoharan S (2019) An improved safety algorithm for artificial intelligence enabled processors in self driving car. J Artif Intell Capsule Netw 1(2):95–104

    Article  Google Scholar 

  10. Ahmad MH, Cheah NACY, Seman MTA (2022). Embedded RFID system: OKU smart parking. In: Proceedings of the 12th national technical seminar on unmanned system technology, pp 203–219. Springer, Singapore

    Google Scholar 

  11. Frisch D, Reißmann S, Pape C (2017) An over the air update mechanism for ESP8266 microcontrollers. In: Proc. 12th Int. Conf. Syst. Netw. Commun. (ICSNC), 12–17

    Google Scholar 

  12. Charles J, Dhage A, Bodele G, Bargat T, Gawai J (2022) RFID based smart parking system using firebase. Int J Res Eng Sci Manage 5(2):31–33

    Google Scholar 

  13. Epiphany JL (2015) Artificial neural network design flow for classification problem using matlab. IJARBEST 1(6):22–25

    Google Scholar 

  14. Manjula G, Govinda Rajulu G, Anand R, Thirukrishna JT (2022) Implementation of smart parking application using IoT and machine learning algorithms. In: Computer networks and ınventive communication technologies, pp 247–257. Springer, Singapore

    Google Scholar 

  15. Wu ZY (2023) Study on smart parking lot charging system with IOTA Tangle (Doctoral dissertation)

    Google Scholar 

  16. Zhou H, Zhao Y, Xiang W (2022) Method for judging parking status based on yolov2 target detection algorithm. Procedia Comput Sci 199:1355–1362

    Article  Google Scholar 

  17. Vidhya DS, Rebelo DP, D’Silva CJ, Fernandes W (2016) Obstacle detection using ultrasonic sensors. Int J Innov Res Sci Technol 2(11):316–320

    Google Scholar 

  18. Kasera RK, Acharjee T (2022) A smart indoor parking system. SN Comput Sci 3(1):1–17

    Article  Google Scholar 

Download references

Acknowledgements

This work is supported by the Research and Technology Transfer Office, Bina Nusantara University, as a part of Bina Nusantara University’s International Research Grant contract number: No. 017/VR.RTT/III/2022 contract date: 22 March 2022.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Harco Leslie Hendric Spits Warnars .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Santoso, D., Hakim, M.S., Rachfian, M.N., Hidayat, M.L., Warnars, H.L.H.S. (2022). Mobile Application for Smart Parking Systems. In: Asokan, R., Ruiz, D.P., Baig, Z.A., Piramuthu, S. (eds) Smart Data Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-3311-0_41

Download citation

Publish with us

Policies and ethics