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A Blockchain and Gamification Approach for Smart Parking

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Intelligent Transport Systems, From Research and Development to the Market Uptake (INTSYS 2018)

Abstract

City parking is increasingly complex and available parking spaces are scarce. Being able to identify a space to park their cars can lead many drivers to drive around the intended parking area several times, increasing traffic density and pollution. In this research we propose a collaborative blockchain solution with gamification for parking. Users collaborate to report free spaces and receive free parking minutes for their service to the community. In parallel, this approach can be used to collect beacon information from the parked vehicles and create a low-cost collaborative approach for managing a parking control process platform Blockchain that can handle this distributed process and the gamification platform increases users’ participation.

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References

  1. Dowling, C.F., Tanner, R., Lillian, Z.B.: How much urban traffic is searching for parking? (2017)

    Google Scholar 

  2. Estatísticas dos Transportes 2011, edição de 2012 do INE

    Google Scholar 

  3. Mimbela, L.Y., Klein, L.A.: A summary of vehicle detection and surveillance technologies used in intelligent transportation systems. Tech. report, New Mexico State University (2007). http://www.fhwa.dot.gov/ohim/tvtw/vdstits.pdf

  4. Mouskos, K.C., Boile, M., Parker, N.: Technical solutions to overcrowded park and ride facilities. Final Report, FHWANJ-2007-01, University Transportation Research Center-Region 2. City College of New York (2007). http://www.nj.gov/transportation/refdata/research/reports/FHWA-NJ-2007-011.pdf

  5. Cheung, S.Y., Coleri Ergen, S., Varaiya, P.: Traffic surveillance with wireless magnetic sensors. In: Proceedings of the 12th ITS World Congress, San Francisco, 6–10 November 2005, pp. 1–13 (2005)

    Google Scholar 

  6. Lenz, J.E., Edelstein, A.S.: A review of magnetic sensors. IEEE Sensors J. 6, 631–649 (2006)

    Article  Google Scholar 

  7. Wolff, J., Heuer, J., Haibin, T., Weinmann, G., Voit, M., Hartmann, S.: Parking monitor system based on magnetic field senso. In: Proceedings of the Intelligent Transportation System Conference, Toronto, Ontology, 17–20 September 2006, pp. 1275–1279 (2006)

    Google Scholar 

  8. San Francisco Park. http://sfpark.org/

  9. Mathur, S., et al.: ParkNet: drive-by sensing of road-side parking statistics. In: ACM MobiSys (2010)

    Google Scholar 

  10. Noor, H.H.M.H., Badiozaman, M.H., Daud, H.: Smart parking reservation system using short message services (SMS). IEEE (2009)

    Google Scholar 

  11. Geng, Y., Cassandras, C.G.: New smart parking system based on resource allocation and reservations. IEEE Trans. Intell. Transp. Syst. 14(3), 1129–1139 (2013)

    Article  Google Scholar 

  12. Reddy, P.D., Rao, A.R., Ahmed, S.M.: An intelligent parking guidance and information system by using image processing technique. IJARCCE 2(10), 4044–4048 (2013)

    Google Scholar 

  13. Rashid, M.M., Musa, A., Rahman, M.A., Farahana, N., Farhana, A.: Automatic parking management system and parking fee collection based on number plate recognition. Int. J. Mach. Learn. Comput. 2(2), 94 (2012). Published 2014

    Google Scholar 

  14. Al-Kharusi, H., Al-Bahadly, I.: Intelligent parking management system based on image processing. World J. Eng. Technol. 2, 55–67 (2014). 4799-8802-0/15 ©2015 IEEE

    Article  Google Scholar 

  15. Khan, W.Z., Xiang, Y., Aalsalem, M.Y., Arshad, Q.: Mobile phone sensing systems: a survey. Commun. Surv. Tutor. 15, 402–427 (2013)

    Article  Google Scholar 

  16. Zhang, Y., van der Schaar, M.: Reputation-based incentive protocols in crowdsourcing applications. In: Proceedings of IEEE INFOCOM, pp. 2140–2148, March 2012

    Google Scholar 

  17. Delot, T., Cenerario, N., Ilarri, S., Lecomte, S.: A cooperative reservation protocol for parking spaces in vehicular ad hoc networks. In: Mobility Conference (2009)

    Google Scholar 

  18. Myers, K.A., Tapley, B.D.: Adaptive sequential estimation with unknown noise statistics. IEEE Trans. Autom. Control 21(4), 520–523 (1976)

    Article  Google Scholar 

  19. http://www.dgterritorio.pt/ficheiros/cadastro/caop/caop_download/caop_2014_0/areasfregmundistcaop2014_2. Accessed Sept. 2018

  20. App Download link. https://iscteiul365-my.sharepoint.com/:u:/g/personal/ngvii_iscte-iul_pt/EQjjAxRiulROrXseEQMFoMBWx1puOqzHehGMzH8fX5zA?e=qGpkUL

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Correspondence to João Carlos Ferreira .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ferreira, J.C., Martins, A.L., Gonçalves, F., Maia, R. (2019). A Blockchain and Gamification Approach for Smart Parking. In: Ferreira, J., Martins, A., Monteiro, V. (eds) Intelligent Transport Systems, From Research and Development to the Market Uptake. INTSYS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 267. Springer, Cham. https://doi.org/10.1007/978-3-030-14757-0_1

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  • DOI: https://doi.org/10.1007/978-3-030-14757-0_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14756-3

  • Online ISBN: 978-3-030-14757-0

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