Artikel
Dynamic grouping of vehicle trajectories
Vehicular traffic volume in large cities has increased in recent years, causing mobility problems; therefore,the analysis of vehicle flow data becomes a relevant research topic. Intelligent Transportation Systems monitor and control vehicular movements by collecting GPS trajectories, which provides the geographic location of vehicles in real time. Thus information is processed using clustering techniques to identify vehicular flow patterns. This work presents a methodologycapable of analyzing the vehicular flow in a given area, identifying speed ranges and keeping an interactivemap updated that facilitates the identification of possible traffic jam areas. The results obtained on threedata sets from the cities of Guayaquil-Ecuador, RomeItaly and Beijing-China are satisfactory and clearlyrepresent the speed of movement of the vehicles, automatically identifying the most representative ranges inreal time.
- Weitere Titel
-
Agrupamiento dinámico de trayectorias vehiculares
- Sprache
-
Englisch
- Erschienen in
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Journal: Journal of Computer Science & Technology ; ISSN: 1666-6038 ; Volume: 22 ; Year: 2022 ; Issue: 2 ; Pages: 141-150 ; La Plata: Universidad Nacional de La Plata
- Klassifikation
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Allgemeines, Wissenschaft
- Ereignis
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Geistige Schöpfung
- (wer)
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Reyes, Gary
Lanzarini, Laura
Estrebou, Cesar
Bariviera, Aurelio F.
- Ereignis
-
Veröffentlichung
- (wer)
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Universidad Nacional de La Plata
- (wo)
-
La Plata
- (wann)
-
2022
- DOI
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doi:10.24215/16666038.22.e11
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Reyes, Gary
- Lanzarini, Laura
- Estrebou, Cesar
- Bariviera, Aurelio F.
- Universidad Nacional de La Plata
Entstanden
- 2022
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