Abstract: Fleet management systems are currently used to coordinate mobility and delivery services in a wide range of areas. However, their traditional control architecture becomes a critical bottleneck in open and dynamic environments, where scalability and autonomy are key factors in their success. In this article, we propose an intelligent distributed Fleet Management System architecture for an open pit mine that allows mining vehicles control in a real time context, according to users’ requirements. Enriched by an intelligence layer made possible by the use of high-performance artificial intelligence algorithms and a reliable and efficient perception mechanism based on Internet of Things technologies and governed by an smart and integrated decision system that allows the fleet management system to improve its agility and its response to user requirements, our architecture presents numerous contributions to the domain. These contributions enable the fleet management system to meet the interoperability and autonomy requirements of the most widely used standards in the field, such as ISA 95.

Hajar BNOUACHIR, Meryiem CHERGUI, Nadia MACHKOUR, Mourad ZEGRARI, Aziza CHAKIR, Laurent DESHAYES, Atae SEMMAR and Hicham MEDROMI, “Intelligent Fleet Management System for Open Pit Mine” International Journal of Advanced Computer Science and Applications(IJACSA), 11(5), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110543

@article{BNOUACHIR2020,
title = {Intelligent Fleet Management System for Open Pit Mine},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110543},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110543},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {5},
author = {Hajar BNOUACHIR and Meryiem CHERGUI and Nadia MACHKOUR and Mourad ZEGRARI and Aziza CHAKIR and Laurent DESHAYES and Atae SEMMAR and Hicham MEDROMI}
}