Representing traffic congestions on moving objects trajectories
The discovery of moving objects trajectory patterns representing a high traffic density have been covered on different works using diverse approaches. These models are useful for the areas of transportation planning, traffic monitoring and advertising on public roads. Besides of the important utilit...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
2015-11-01
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| Series: | Journal of Computer Science and Technology |
| Subjects: | |
| Online Access: | https://journal.info.unlp.edu.ar/JCST/article/view/550 |
| _version_ | 1818940666664714240 |
|---|---|
| author | Mariano Kohan Juan María Ale |
| author_facet | Mariano Kohan Juan María Ale |
| author_sort | Mariano Kohan |
| collection | DOAJ |
| description | The discovery of moving objects trajectory patterns representing a high traffic density have been covered on different works using diverse approaches. These models are useful for the areas of transportation planning, traffic monitoring and advertising on public roads. Besides of the important utility, these type of patterns usually do not specify a difference between a high traffic and a traffic congestion. In this work, we propose a model for the discovery of high traffic flow patterns and traffic congestions, represented in the same pattern. Also, as a complement, we present a model that discovers alternative paths to the severe traffic on these patterns. These proposed patterns could help to improve traffic allowing the identification of problems and possible alternatives. |
| first_indexed | 2024-12-20T06:43:16Z |
| format | Article |
| id | doaj.art-89830e1840f745ae99b9cab75096dc08 |
| institution | Directory Open Access Journal |
| issn | 1666-6046 1666-6038 |
| language | English |
| last_indexed | 2024-12-20T06:43:16Z |
| publishDate | 2015-11-01 |
| publisher | Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata |
| record_format | Article |
| series | Journal of Computer Science and Technology |
| spelling | doaj.art-89830e1840f745ae99b9cab75096dc082022-12-21T19:49:48ZengPostgraduate Office, School of Computer Science, Universidad Nacional de La PlataJournal of Computer Science and Technology1666-60461666-60382015-11-0115028186273Representing traffic congestions on moving objects trajectoriesMariano Kohan0Juan María Ale1Facultad de Ingeniería, Universidad de Buenos Aires, Ciudad de Buenos Aires, ArgentinaFacultad de Ingeniería, Universidad de Buenos Aires, Ciudad de Buenos Aires, ArgentinaThe discovery of moving objects trajectory patterns representing a high traffic density have been covered on different works using diverse approaches. These models are useful for the areas of transportation planning, traffic monitoring and advertising on public roads. Besides of the important utility, these type of patterns usually do not specify a difference between a high traffic and a traffic congestion. In this work, we propose a model for the discovery of high traffic flow patterns and traffic congestions, represented in the same pattern. Also, as a complement, we present a model that discovers alternative paths to the severe traffic on these patterns. These proposed patterns could help to improve traffic allowing the identification of problems and possible alternatives.https://journal.info.unlp.edu.ar/JCST/article/view/550road networktraffic flowmoving objectstrajectoriestraffic congestion |
| spellingShingle | Mariano Kohan Juan María Ale Representing traffic congestions on moving objects trajectories Journal of Computer Science and Technology road network traffic flow moving objects trajectories traffic congestion |
| title | Representing traffic congestions on moving objects trajectories |
| title_full | Representing traffic congestions on moving objects trajectories |
| title_fullStr | Representing traffic congestions on moving objects trajectories |
| title_full_unstemmed | Representing traffic congestions on moving objects trajectories |
| title_short | Representing traffic congestions on moving objects trajectories |
| title_sort | representing traffic congestions on moving objects trajectories |
| topic | road network traffic flow moving objects trajectories traffic congestion |
| url | https://journal.info.unlp.edu.ar/JCST/article/view/550 |
| work_keys_str_mv | AT marianokohan representingtrafficcongestionsonmovingobjectstrajectories AT juanmariaale representingtrafficcongestionsonmovingobjectstrajectories |