bachelorThesis
“Desarrollo de un visualizador interactivo sobre la estimación de pasajeros a través de la matriz origen-destino dinámica aplicando filtro de Kalman”
Fecha
2021-05Autor
Cajamarca Benites, Byron Danilo
Institución
Resumen
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.