Repositori URV

Identificador: imarina:9283416

Handle: https://hdl.handle.net/20.500.11797/imarina9283416

Autores:
Reyes GLanzarini LEstrebou CBariviera A

Resumen:
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 mon-itor and control vehicular movements by collecting GPS trajectories, which provides the geographic lo-cation of vehicles in real time. Thus information is processed using clustering techniques to identify vehicular flow patterns. This work presents a methodology capable of analyzing the vehicular flow in a given area, identifying speed ranges and keeping an interactive map updated that facilitates the identification of pos-sible traffic jam areas. The obtained results on three data sets from the cities of Guayaquil-Ecuador, Rome-Italy and Beijing-China are satisfactory and clearly represent the speed of movement of the vehicles, auto-matically identifying the most representative ranges in real time.