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Development of Artificial Intelligence System (AI) Based on Patterns Recognition For Patterns Analysis of Vehicular Routes

Authors

  • Leonardo Luís Röpke UNIJUI
  • Manuel Osório Binelo

Keywords:

Artificial intelligence, Artificial neural networks, K-means, Pattern Recognition, Routes

Abstract

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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Published

2020-06-09

Versions

How to Cite

Röpke, L. L., & Binelo, M. O. (2020). Development of Artificial Intelligence System (AI) Based on Patterns Recognition For Patterns Analysis of Vehicular Routes. Inteligencia Artificial, 23(65), 67-85. Retrieved from https://journal.iberamia.org/index.php/intartif/article/view/339