Development of an Artificial Intelligence System (AI) Based on Patterns Recognition for the 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 presents the study and development of 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. The developed tool has the objective of modernizing the process of identification of routes and deviations of routes. 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. Therefore, RNAs are an excellent technique to be applied to the identification of routes and deviations of routes. The K-means algorithm presented good results when applied in the discovery of similar routes, thus becoming an important tool applied to the work of monitoring vehicles routes.

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Published

2020-06-09 — Updated on 2020-06-09

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How to Cite

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