Development of Artificial Intelligence System (AI) Based on Patterns Recognition For Patterns Analysis of Vehicular Routes
DOI:
https://doi.org/10.4114/intartif.vol23iss65pp67-85Keywords:
Artificial intelligence, Artificial neural networks, K-means, Pattern Recognition, RoutesAbstract
This work have the objective presents an Artificial Intelligence system, with focus on K-means algorithms and Artificial Neural Networks, to assist fleet managers in the identification of routes and route deviations. With the developed tool a modernization in the process of identification of routes and deviations of routes was obtained, the results show that the Artificial Neural Networks obtained a 100% accuracy rate in the identification of routes, and in the identification of route deviations the RNAs were able to identify 61% of the routes presented. Thus, RNAs are an excellent technique applied to the identification of routes and deviations of routes and beyond it the K-means algorithm can be applied in the discovery of similar routes, thus becoming a great tool applied to the work of monitoring the routes traveled by the vehicles.
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- 2020-06-09 (2)
- 2020-06-09 (1)
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Copyright (c) 2020 Iberamia & The Authors
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Open Access publishing.
Lic. under Creative Commons CC-BY-NC
Inteligencia Artificial (Ed. IBERAMIA)
ISSN: 1988-3064 (on line).
(C) IBERAMIA & The Authors