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DOI: 10.14569/IJACSA.2019.0101149
PDF

Semantic Micro-Services Model for Vehicle Routing using Ant Colony Optimization

Author 1: Asmaa ROUDANE
Author 2: Mohamed YOUSSFI
Author 3: Khalifa MANSOURI

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 11, 2019.

  • Abstract and Keywords
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Abstract: In this paper, we propose a new model of vehicle routing based on micro services using the principle of selection and composition of paths. In this model each micro service is responsible for a road resource, a step in the driver's journey, implementing a specific objective of the road course. The micro services are deployed in a cloud architecture in multiple instances according to a system of increase in load and fault tolerance. Drivers requests are sent to a proxy micro-service, with abstract structures of road courses represented by oriented graphs. The proxy micro-service is responsible for analyzing the request to determine the driver's profile and its context in the journey in order to select the micro-service responsible for providing information on the most appropriate road resource. The method of meta-heuristic optimization of road courses, used in the proposed approach, is based on the ant colony algorithm, or we will describe an adaptation of this optimization method to propose to the driver, at each stage of the journey, the most optimal resource to exploit.

Keywords: Road traffic; road traffic management systems; intelligent systems; complex systems; graphs; real-time; optimization methods; micro-services; ant colonies; vehicle routing

Asmaa ROUDANE, Mohamed YOUSSFI and Khalifa MANSOURI, “Semantic Micro-Services Model for Vehicle Routing using Ant Colony Optimization” International Journal of Advanced Computer Science and Applications(IJACSA), 10(11), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0101149

@article{ROUDANE2019,
title = {Semantic Micro-Services Model for Vehicle Routing using Ant Colony Optimization},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0101149},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0101149},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {11},
author = {Asmaa ROUDANE and Mohamed YOUSSFI and Khalifa MANSOURI}
}



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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