ANALYTICS AND DATA SCIENCE APPLIED TO THE TRAJECTORY OUTLIER DETECTION

Alexis J. LOPEZ; Perfecto M. QUINTERO; Ana K. HERNANDEZ

doi:10.35784/acs-2020-09

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Published: Jun 30, 2020

DOI: https://doi.org/10.35784/acs-2020-09

Issue Vol. 16 No. 2 (2020)

Articles

ANALYTICS AND DATA SCIENCE APPLIED TO THE TRAJECTORY OUTLIER DETECTION
Alexis J. LOPEZ, Perfecto M. QUINTERO, Ana K. HERNANDEZ

5-17
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DOI

https://doi.org/10.35784/acs-2020-09

Authors

Alexis J. LOPEZ

alexistegno@gmail.com

Tecnológico Nacional de México, Instituto Tecnológico de Apizaco, 90300, Carretera Apizaco-Tzompantepec, Esquina Av., Instituto Tecnologico S/N, Apizaco, Tlaxcala, Mexico

Perfecto M. QUINTERO

alexistegno@gmail.com

Tecnológico Nacional de México, Instituto Tecnológico de Apizaco, 90300, Carretera Apizaco-Tzompantepec, Esquina Av., Instituto Tecnologico S/N, Apizaco, Tlaxcala, Mexico

Ana K. HERNANDEZ

alexistegno@gmail.com

Tecnológico Nacional de México, Instituto Tecnológico de Apizaco, 90300, Carretera Apizaco-Tzompantepec, Esquina Av., Instituto Tecnologico S/N, Apizaco, Tlaxcala, Mexico

Abstract

Nowadays, logistics for transportation and distribution of merchandise are a key element to increase the competitiveness of companies. However, the election of alternative routes outside the panned routes causes the logistic companies to provide a poor-quality service, with units that endanger the appropriate deliver of merchandise and impacting negatively the way in which the supply chain works. This paper aims to develop a module that allows the processing, analysis and deployment of satellite information oriented to the pattern analysis, to find anomalies in the paths of the operators by implementing the algorithm TODS, to be able to help in the decision making. The experimental results show that the algorithm detects optimally the abnormal routes using historical data as a base.

Keywords:

spatial-temporal data, trajectory outlier detection, trajectory clustering

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LOPEZ, A. J., QUINTERO, P. M., & HERNANDEZ, A. K. (2020). ANALYTICS AND DATA SCIENCE APPLIED TO THE TRAJECTORY OUTLIER DETECTION. Applied Computer Science, 16(2), 5–17. https://doi.org/10.35784/acs-2020-09

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