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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Smart Parking Architecture based on Multi Agent System

Author 1: SOFIA BELKHALA Author 2: SIHAM BENHADOU Author 3: KHALID BOUKHDIR Author 4: HICHAM MEDROMI
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 10, No. 3 · Published 2019 · Cited by 30

DOI: https://doi.org/10.14569/IJACSA.2019.0100349

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Abstract

Finding a parking space in big cities is becoming more and more impossible. In addition, the emergence of car has created several problems relating to urban mobility for the city. But with the development of technology, these problems can be solved. In this paper, the problem of parking has been addressed by proposing an architecture to automate the parking process using the internet of things, artificial intelligence and multi agent systems.

Keywords

Smart parking IoT multi agent system artificial intelligence parking availability IoT application

How to Cite this Article

BELKHALA, S., BENHADOU, S., BOUKHDIR, K., & MEDROMI, H. (2019). Smart Parking Architecture based on Multi Agent System. International Journal of Advanced Computer Science and Applications, 10(3). https://doi.org/10.14569/IJACSA.2019.0100349

BELKHALA, SOFIA, et al.. "Smart Parking Architecture based on Multi Agent System." International Journal of Advanced Computer Science and Applications, vol. 10, no. 3, 2019, https://doi.org/10.14569/IJACSA.2019.0100349.

@article{BELKHALA2019,
  title     = {Smart Parking Architecture based on Multi Agent System},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {3},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {SOFIA BELKHALA and SIHAM BENHADOU and KHALID BOUKHDIR and HICHAM MEDROMI},
  doi       = {10.14569/IJACSA.2019.0100349},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100349}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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