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Research Article | Open Access |

A Novel Modeling based Agent Cellular Automata for Advanced Residential Mobility Applications

Author 1: Elarbi Elalaouy Author 2: Khadija Rhoulami Author 3: Moulay Driss Rahmani
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 8, No. 7 · Published 2017

DOI: https://doi.org/10.14569/IJACSA.2017.080745

Abstract

Nowadays, residential mobility (RM) is usually interconnected with other urban phenomena to give more realistic and effective to the simulation models in order to support urban planners and decision makers. Recent RM research works to describe models from a functional view; however researchers do less focus in providing software modeling of their RM applications. Based on this note, the article presents an agent cellular automata based modeling for advanced RM applications. The proposed modeling contains six models based on UML 2.0 diagrams which models parts of the system from different views. The work could be of interest for specialists (researchers, designers and developers) when modeling advanced RM applications.

Keywords

How to Cite this Article

Elalaouy, E., Rhoulami, K., & Rahmani, M. D. (2017). A Novel Modeling based Agent Cellular Automata for Advanced Residential Mobility Applications. International Journal of Advanced Computer Science and Applications, 8(7). https://doi.org/10.14569/IJACSA.2017.080745

Elalaouy, Elarbi, et al.. "A Novel Modeling based Agent Cellular Automata for Advanced Residential Mobility Applications." International Journal of Advanced Computer Science and Applications, vol. 8, no. 7, 2017, https://doi.org/10.14569/IJACSA.2017.080745.

@article{Elalaouy2017,
  title     = {A Novel Modeling based Agent Cellular Automata for Advanced Residential Mobility Applications},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {8},
  number    = {7},
  year      = {2017},
  publisher = {The Science and Information Organization},
  author    = {Elarbi Elalaouy and Khadija Rhoulami and Moulay Driss Rahmani},
  doi       = {10.14569/IJACSA.2017.080745},
  url       = {https://doi.org/10.14569/IJACSA.2017.080745}
}

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