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DOI: 10.14569/IJACSA.2018.0911101
PDF

The Proposal of a Distributed Algorithm for Solving the Multiple Constraints Parking Problem

Author 1: Khaoula Hassoune
Author 2: Wafaa Dachry
Author 3: Fouad Moutaouakkil
Author 4: Hicham Medromi

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 11, 2018.

  • Abstract and Keywords
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Abstract: The parking problem in big cities has become one of the key causes of the city traffic congestion, driver frustration and air pollution.So to avoid these problems, parking monitoring is an important solution. Recently many new technologies have been developed that allows vehicle drivers to effectively find the free parking places in the city but these systems still limited because they don 't take into consideration road networks constraints. In this paper, We design a distributed system that will help drivers to find the optimal route between their positions and an indoor parking in the city taking into consideration a set of constraints such as ( distance, traffic, amount of fuel in the car, available places in te parking, and parking cost). We propose a distributed technique based on multi objective Ant Colony Optimisation (ACO). The proposed method aim to manage multi objective parking problem in real time using the behavior of real ants and multi agent systems to decrease the traffic flow and to find the optimal route for drivers.

Keywords: ant colony optimization(ACO); multi-agent system; parking monitoring; intelligent systems

Khaoula Hassoune, Wafaa Dachry, Fouad Moutaouakkil and Hicham Medromi, “The Proposal of a Distributed Algorithm for Solving the Multiple Constraints Parking Problem” International Journal of Advanced Computer Science and Applications(IJACSA), 9(11), 2018. http://dx.doi.org/10.14569/IJACSA.2018.0911101

@article{Hassoune2018,
title = {The Proposal of a Distributed Algorithm for Solving the Multiple Constraints Parking Problem},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.0911101},
url = {http://dx.doi.org/10.14569/IJACSA.2018.0911101},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {11},
author = {Khaoula Hassoune and Wafaa Dachry and Fouad Moutaouakkil and Hicham Medromi}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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