Dynamic grouping of vehicle trajectories

Vehicular traffic volume in large cities has increased 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 vehicles real time. Thus information is processed using clustering techniques to identify patterns. This work presents methodologycapable analyzing given area, identifying speed ranges keeping an interactivemap updated that facilitates identification possible jam areas. The results obtained on threedata sets from Guayaquil-Ecuador, RomeItaly Beijing-China are satisfactory clearlyrepresent movement vehicles, automatically most representative inreal