ANALYTICS AND DATA SCIENCE APPLIED TO THE TRAJECTORY OUTLIER DETECTION
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...
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| Format: | Article |
| Language: | English |
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Polish Association for Knowledge Promotion
2020-06-01
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| Series: | Applied Computer Science |
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| Online Access: | https://ph.pollub.pl/index.php/acs/article/view/3148 |
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| author | Alexis J. LOPEZ Perfecto M. QUINTERO Ana K. HERNANDEZ |
| author_facet | Alexis J. LOPEZ Perfecto M. QUINTERO Ana K. HERNANDEZ |
| author_sort | Alexis J. LOPEZ |
| collection | DOAJ |
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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.
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| format | Article |
| id | doaj-art-8f50b4e7a29f490a9701e9b2be8fc66f |
| institution | OA Journals |
| issn | 2353-6977 |
| language | English |
| publishDate | 2020-06-01 |
| publisher | Polish Association for Knowledge Promotion |
| record_format | Article |
| series | Applied Computer Science |
| spelling | doaj-art-8f50b4e7a29f490a9701e9b2be8fc66f2025-08-20T02:16:11ZengPolish Association for Knowledge PromotionApplied Computer Science2353-69772020-06-0116210.35784/acs-2020-09ANALYTICS AND DATA SCIENCE APPLIED TO THE TRAJECTORY OUTLIER DETECTIONAlexis J. LOPEZ0Perfecto M. QUINTERO1Ana K. HERNANDEZ2Tecnológico Nacional de México, Instituto Tecnológico de Apizaco, 90300, Carretera Apizaco-Tzompantepec, Esquina Av., Instituto Tecnologico S/N, Apizaco, TlaxcalaTecnológico Nacional de México, Instituto Tecnológico de Apizaco, 90300, Carretera Apizaco-Tzompantepec, Esquina Av., Instituto Tecnologico S/N, Apizaco, TlaxcalaTecnológico Nacional de México, Instituto Tecnológico de Apizaco, 90300, Carretera Apizaco-Tzompantepec, Esquina Av., Instituto Tecnologico S/N, Apizaco, Tlaxcala 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. https://ph.pollub.pl/index.php/acs/article/view/3148spatial-temporal datatrajectory outlier detectiontrajectory clustering |
| spellingShingle | Alexis J. LOPEZ Perfecto M. QUINTERO Ana K. HERNANDEZ ANALYTICS AND DATA SCIENCE APPLIED TO THE TRAJECTORY OUTLIER DETECTION Applied Computer Science spatial-temporal data trajectory outlier detection trajectory clustering |
| title | ANALYTICS AND DATA SCIENCE APPLIED TO THE TRAJECTORY OUTLIER DETECTION |
| title_full | ANALYTICS AND DATA SCIENCE APPLIED TO THE TRAJECTORY OUTLIER DETECTION |
| title_fullStr | ANALYTICS AND DATA SCIENCE APPLIED TO THE TRAJECTORY OUTLIER DETECTION |
| title_full_unstemmed | ANALYTICS AND DATA SCIENCE APPLIED TO THE TRAJECTORY OUTLIER DETECTION |
| title_short | ANALYTICS AND DATA SCIENCE APPLIED TO THE TRAJECTORY OUTLIER DETECTION |
| title_sort | analytics and data science applied to the trajectory outlier detection |
| topic | spatial-temporal data trajectory outlier detection trajectory clustering |
| url | https://ph.pollub.pl/index.php/acs/article/view/3148 |
| work_keys_str_mv | AT alexisjlopez analyticsanddatascienceappliedtothetrajectoryoutlierdetection AT perfectomquintero analyticsanddatascienceappliedtothetrajectoryoutlierdetection AT anakhernandez analyticsanddatascienceappliedtothetrajectoryoutlierdetection |