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Social Parking: Applying the Citizens as Sensors Paradigm to Parking Guidance and Information

Author

Listed:
  • Julio Barbancho

    (Departamento de Tecnología Electrónica, Universidad de Sevilla, 41011 Sevilla, Spain)

  • Jorge Ropero

    (Departamento de Tecnología Electrónica, Universidad de Sevilla, 41011 Sevilla, Spain)

  • Joaquín Luque

    (Departamento de Tecnología Electrónica, Universidad de Sevilla, 41011 Sevilla, Spain)

  • Alejandro Caraballo

    (Department of Software Engineering and Business Solutions, Soltel Company, 41092 Sevilla, Spain)

  • Carlos León

    (Departamento de Tecnología Electrónica, Universidad de Sevilla, 41011 Sevilla, Spain)

Abstract

Nowadays, the problem of parking guidance information (PGI) is one of the great challenges of smart cities. Sensor networks have been traditionally used, but they sometimes constitute a high administrative cost. For this reason, this paper presents social parking, a system that is based on the citizens as sensors paradigm, where data are collected by users and are processed using data mining techniques. Moreover, an ontology is used to enable the standardization of information. This way, social parking is compatible with the FIWARE platform. A forecast algorithm was also designed and verified to estimate the number of free parking spots inside a parking lot. With this aim, we used public parking data from eight parking lots in the city of Zaragoza. Client applications allowed testing of all the functions of the parking system. These tests were carried out in three experimental parking lots in the city of Málaga.

Suggested Citation

  • Julio Barbancho & Jorge Ropero & Joaquín Luque & Alejandro Caraballo & Carlos León, 2019. "Social Parking: Applying the Citizens as Sensors Paradigm to Parking Guidance and Information," Sustainability, MDPI, vol. 11(23), pages 1-19, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:23:p:6549-:d:289043
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    References listed on IDEAS

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    1. Teodorovic, Dusan & Lucic, Panta, 2006. "Intelligent parking systems," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1666-1681, December.
    2. Qian Liu & Mingjian Zhu & Zuopeng Xiao, 2019. "Workplace Parking Provision and Built Environments: Improving Context-Specific Parking Standards Towards Sustainable Transport," Sustainability, MDPI, vol. 11(4), pages 1-23, February.
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    Cited by:

    1. Antonio De Nicola & Maria Luisa Villani, 2021. "Smart City Ontologies and Their Applications: A Systematic Literature Review," Sustainability, MDPI, vol. 13(10), pages 1-40, May.

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