“Desarrollo de un visualizador interactivo sobre la estimación de pasajeros a través de la matriz origen-destino dinámica aplicando filtro de Kalman”

Abstract

The work carried out consists of the design and development of a web application that facilitates the visualization of the demand for estimated passenger flows through the MCMC sampling function, implemented in RStudio, for the gamma-Poisson model presented by Tebaldi & West (1998). Once the (estimated) passenger demand is known, the step is to use this information as input data to the Kalman Filter algorithm in order to optimize the estimate of the next passenger flow in a period of time (10 minutes approximately) from the 6:30 am to 9:30 am, from the South Eastern corridor from Guamaní station to El Recreo station.