Development of an Artificial Intelligence System (AI) Based on Patterns Recognition for the Analysis of Vehicular Routes
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 identi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Asociación Española para la Inteligencia Artificial
2020-06-01
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| Series: | Inteligencia Artificial |
| Subjects: | |
| Online Access: | https://journal.iberamia.org/index.php/intartif/article/view/339 |
| Summary: | 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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| ISSN: | 1137-3601 1988-3064 |