Dynamic grouping of vehicle trajectories

  1. Gary Reyes 1
  2. Laura Lanzarini 2
  3. Cesar Estrebou 2
  4. Aurelio Fernandez Bariviera 3
  1. 1 Universidad de Guayaquil, Ecuador
  2. 2 Universidad Nacional de La Plata, Argentina
  3. 3 Universitat Rovira i Virgili, Spain
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Revista:
Journal of Computer Science and Technology

ISSN: 1666-6038

Any de publicació: 2022

Volum: 22

Número: 2

Tipus: Article

DOI: 10.24215/16666038.22.E11 DIALNET GOOGLE SCHOLAR lock_openAccés obert editor

Altres publicacions en: Journal of Computer Science and Technology

Objectius de Desenvolupament Sostenible

Resum

El volumen de tráfico vehicular de las grandes ciudades se ha incrementado en los últimos años originando problemas de movilidad, por ello el análisis de los datos del flujo vehicular toma importancia para los investigadores. Los Sistemas Inteligentes de transportación realizan el monitoreo y control vehicular recolectando trayectorias GPS, información que brinda en tiempo real la ubicación geográfica de los vehículos. Su procesamiento por medio de técnicas de agrupamiento permite identificar patrones sobre el flujo vehicular. Este trabajo presenta una metodología capaz de analizar el flujo vehicular en un área dada, identificando los rangos de velocidades y manteniendo actualizado un mapa interactivo que facilita la identificación de zonas de posibles atascos. Los resultados obtenidos sobre tres conjuntos de datos de las ciudades de Guayaquil-Ecuador, Roma-Italia y Beijing-China son satisfactorios y representan claramente la velocidad de desplazamiento de los vehículos identificando de manera automática los rangos más representativos para cada instante de tiempo.

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Fuente de los datos: Dialnet