A Measure of Similarity Between Trajectories of Vessels
The measurement of similarity between trajectories of vessels is one of the kernel problems that must be addressed to promote the development of maritime intelligent traffic system (ITS). In this study, a new model of trajectory similarity measurement was established to improve the data processing e...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Eastern Macedonia and Thrace Institute of Technology
2016-03-01
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| Series: | Journal of Engineering Science and Technology Review |
| Subjects: | |
| Online Access: | http://www.jestr.org/downloads/Volume9Issue1/fulltext9142016.pdf |
| _version_ | 1818757022036787200 |
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| author | Le QI Zhongyi ZHENG |
| author_facet | Le QI Zhongyi ZHENG |
| author_sort | Le QI |
| collection | DOAJ |
| description | The measurement of similarity between trajectories of vessels is one of the kernel problems that must be addressed to promote the development of maritime intelligent traffic system (ITS). In this study, a new model of trajectory similarity measurement was established to improve the data processing efficiency in dynamic application and to reflect actual sailing behaviors of vessels. In this model, a feature point detection algorithm was proposed to extract feature points, reduce data storage space and save computational resources. A new synthesized distance algorithm was also created to measure the similarity between trajectories by using the extracted feature points. An experiment was conducted to measure the similarity between the real trajectories of vessels. The growth of these trajectories required measurements to be conducted under different voyages. The results show that the similarity measurement between the vessel trajectories is efficient and correct. Comparison of the synthesized distance with the sailing behaviors of vessels proves that results are consistent with actual situations. The experiment results demonstrate the promising application of the proposed model in studying vessel traffic and in supplying reliable data for the development of maritime ITS. |
| first_indexed | 2024-12-18T06:04:19Z |
| format | Article |
| id | doaj.art-01028068b4cc4415b436b5ebc6d32f50 |
| institution | Directory Open Access Journal |
| issn | 1791-2377 1791-2377 |
| language | English |
| last_indexed | 2024-12-18T06:04:19Z |
| publishDate | 2016-03-01 |
| publisher | Eastern Macedonia and Thrace Institute of Technology |
| record_format | Article |
| series | Journal of Engineering Science and Technology Review |
| spelling | doaj.art-01028068b4cc4415b436b5ebc6d32f502022-12-21T21:18:35ZengEastern Macedonia and Thrace Institute of TechnologyJournal of Engineering Science and Technology Review1791-23771791-23772016-03-01911722A Measure of Similarity Between Trajectories of VesselsLe QI0Zhongyi ZHENG1Navigation College, Dalian Maritime University, Dalian 116026, ChinaNavigation College, Dalian Maritime University, Dalian 116026, ChinaThe measurement of similarity between trajectories of vessels is one of the kernel problems that must be addressed to promote the development of maritime intelligent traffic system (ITS). In this study, a new model of trajectory similarity measurement was established to improve the data processing efficiency in dynamic application and to reflect actual sailing behaviors of vessels. In this model, a feature point detection algorithm was proposed to extract feature points, reduce data storage space and save computational resources. A new synthesized distance algorithm was also created to measure the similarity between trajectories by using the extracted feature points. An experiment was conducted to measure the similarity between the real trajectories of vessels. The growth of these trajectories required measurements to be conducted under different voyages. The results show that the similarity measurement between the vessel trajectories is efficient and correct. Comparison of the synthesized distance with the sailing behaviors of vessels proves that results are consistent with actual situations. The experiment results demonstrate the promising application of the proposed model in studying vessel traffic and in supplying reliable data for the development of maritime ITS.http://www.jestr.org/downloads/Volume9Issue1/fulltext9142016.pdfTrajectories of vesselsSimilarity measurementFeature pointSynthesized distance |
| spellingShingle | Le QI Zhongyi ZHENG A Measure of Similarity Between Trajectories of Vessels Journal of Engineering Science and Technology Review Trajectories of vessels Similarity measurement Feature point Synthesized distance |
| title | A Measure of Similarity Between Trajectories of Vessels |
| title_full | A Measure of Similarity Between Trajectories of Vessels |
| title_fullStr | A Measure of Similarity Between Trajectories of Vessels |
| title_full_unstemmed | A Measure of Similarity Between Trajectories of Vessels |
| title_short | A Measure of Similarity Between Trajectories of Vessels |
| title_sort | measure of similarity between trajectories of vessels |
| topic | Trajectories of vessels Similarity measurement Feature point Synthesized distance |
| url | http://www.jestr.org/downloads/Volume9Issue1/fulltext9142016.pdf |
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