A Decentralized Web Application for Parking Spot Booking and Listing: Improving Convenience and Efficiency in Urban Areas

Author: Abhishek Vetal Journal of Web Engineering & Technology-STM Journals Issn: 2455-1880 Date: 2023-11-18 02:54 Volume: 10 Issue: 01 Keyworde: Blockchain, Parking, Decentralized, Web3, dApp Full Text PDF Submit Manuscript Journals

Abstract

Finding a parking spot is becoming a frustrating task, especially during busy hours and with the increasing number of vehicles on the road. In the existing system, people have to manually drive and search for any vacant parking spot and if any spot is not available, they end up parking in the wrong zone. Not only is the time and fuel wasted on this task, but many people also end up paying fines for parking in no-parking zones. To solve this problem, we have proposed “ParkSpace”, which is a decentralized web application that connects people who want to rent their parking spot and drivers or car owners who are looking for a safe place to park. The platform provides individuals with a simple and low stress means to generate income from their property. The transaction between the entities will take place using cryptocurrency. Thus, transparency in the system is maintained and accessible to everyone free of cost. The main advantage of the application is that it saves time to find a spot by navigating the user to the nearest location where a spot is available, and all the transactions are stored on the blockchain network.

Keyworde: Blockchain, Parking, Decentralized, Web3, dApp

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Refrences:

  1. INRIX. (2017). Searching for Parking Costs Americans $73 Billion a Year. [Online]. Inrix. Available from: https://inrix.com/press-releases/parking-pain-us/
  2. Li T, Song S, Yang Y. Driving restrictions, traffic speeds and carbon emissions: Evidence from high-frequency data. China Econ Rev. 2022 Aug 1; 74: 101811. 3. Zhang MY, Zhou LP, Cai WY. Smart Parking System Based on Wireless Sensor Network for Large Parking Lots. Applied Mechanics and Materials (AMM). 2012; 195–196: 889–894. https://doi.org/10.4028/www.scientific.net/amm.195-196.889
  3. Araya D. (2015). Interview: Michel Bauwens on peer-to-peer economics and its role in reshaping our world. [Online]. Futurism.
  4. Miles J. Pushing the boundaries. Research World. 2018 May; 2018(70): 51–1. [Online] Available from: https://library.oapen.org/bitstream/handle/20.500.12657/30986/640674.pdf?sequence=1#page=50
  5. Geng Y, Cassandras CG. New “Smart Parking” System Based on Resource Allocation and Reservations. IEEE Trans Intell Transp Syst. 2013 Sep; 14(3): 1129–1139. doi: 10.1109/TITS.2013.2252428.
  6. Jennath HS, Adarsh S, Chandran NV, Ananthan R, Sabir A, Asharaf S. Parkchain: A Blockchain Powered Parking Solution for Smart Cities. Front Blockchain. 2019; 2: 6. doi: 10.3389/fbloc.2019.00006
  7. Hongwei Wang, Wenbo He. A Reservation-based Smart Parking System. 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). 2011; 690–695. doi: 10.1109/INFCOMW.2011.5928901.
  8. Tang V, Zheng Y, Cao J. An intelligent car park management system based on wireless sensor networks. in Proc. of the 1st International Symposium on Pervasive Computing and Applications, Urumchi, Xinjiang, P.R. China. 2006 Aug; 65–70.
  9. Panayappan R, Trivedi J, Studer A, Perrig A. VANET-based approach for parking space availability. In Proc of the 4th ACM International Workshop on Vehicular Ad Hoc Networks (VANET 2007), Montreal, Qu´ebec, Canada. 2007 Sep; 75–76.
  10. Chinrungrueng J, Sunantachaikul U, Triamlumlerd S. Smart parking: an application of optical wireless sensor network. In Proc. Of the 2007 International Symposium on Applications and the Internet Workshops (SAINTW’07), Hiroshima, Japan. 2007 Jan; 66–69.
  11. Bi Y, Sun L, Zhu H, Yan T, Luo Z. A parking management system based on wireless sensor network. Acta Automat Sin. 2006 Nov; 32(6): 38–45.
  12. Basu P, Little T. Networked Parking Spaces: Architecture and Applications. Proceedings of IEEE Vehicular Technology Conference. 2002 Sep; 1153–1157.
  13. Caliskan M, Graupner D, Mauve M. Decentralized Discovery of Free Parking Places. Proceedings of ACM International Workshop on Vehicular Ad Hoc Networks. 2006 Sep; 30–39.
  14. Caliskan M, Barthels A, Scheuermann B, Mauve M. Predicting Parking Lot Occupancy in Vehicular Ad Hoc Networks. Proceedings of IEEE Vehicular Technology Conference. 2007 Apr; 277–281.
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