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An intelligent parking management system using RFID technology based on user preferences

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Abstract

Due to the tremendous progress in the automotive industry, the growth of the urban population, the number of cars is increasing and this creates parking challenges. Intelligent parking management systems offer an optimal solution for finding empty parking spaces so that drivers can quickly find their car parking spaces. To solve these issues, it is necessary to design an intelligent parking system, besides providing comfort to drivers, which is also economically viable. In this paper, an intelligent multi-storey car parking management system called MODM-RPCP is proposed with the help of RFID technology and user preferences review, which effectively solves car parking issues. The MODM-RPCP approach is a multi-objective decision-making method that reduces the problem of average booking time and response time of the central parking management server. The simulation results show that the MODM-RPCP reduces the average booking time by more than 19.2 and 27.1%, and decreases the response time of the central parking management server more than 20.1 and 29.78% compared to MOGWOLA and ODPP approaches.

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Availability of data and material

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Code availability

All code for data analysis associated with the current submission is available from the corresponding author upon reasonable request.

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Funding

This study has received no funding from any organizations.

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Authors and Affiliations

  1. Department of Computer Engineering, Miyaneh Branch, Islamic Azad University, Miyaneh, Iran

    Amir Shimi, Mohammad Reza Ebrahimi Dishabi & Mohammad Abdollahi Azgomi

Authors
  1. Amir Shimi
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  2. Mohammad Reza Ebrahimi Dishabi
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  3. Mohammad Abdollahi Azgomi
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Correspondence to Mohammad Reza Ebrahimi Dishabi.

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Shimi, A., Ebrahimi Dishabi, M.R. & Abdollahi Azgomi, M. An intelligent parking management system using RFID technology based on user preferences. Soft Comput 26, 13869–13884 (2022). https://doi.org/10.1007/s00500-022-07411-2

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  • DOI: https://doi.org/10.1007/s00500-022-07411-2

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