Estimation of people flow in public transportation network through the origin-destination problem for the South-Eastern corridor of Quito city in the smart cities context

Lina Patrica Zapata, Marco Flores, Victor Larios, Rocio Maciel, Enrique Arias Antunez

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

The present work proposes a model for estimation of users demand in the public transportation network of the South-Eastern corridor of Quito-Ecuador typified in Origin-Destination Matrix (ODM), from the people account who aboard and descend from each bus that arrives at the different stops or stations. We propose a mathematical model, knowing the direct flows and destinations of passengers and the route matrix. We solve the system applying Bayesian inference, using the Monte Carlo technique which generates a large number of random samples that are accepted or rejected according to the Metropolis-Hasting criterion. The resulting value is the arithmetic mean value of all accepted samples. We validate the model through the analysis of the convergence of results, patterns of behavior of the origin-destination pairs and the sensitivity of the results to variations in the values of the links and destinations. Finally, we apply it to the South-East corridor network of Quito city, as particular case study.

Idioma originalInglés
Título de la publicación alojada5th IEEE International Smart Cities Conference, ISC2 2019
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas181-186
Número de páginas6
ISBN (versión digital)9781728108469
DOI
EstadoPublicada - oct 2019
Evento5th IEEE International Smart Cities Conference, ISC2 2019 - Casablanca, Marruecos
Duración: 14 oct 201917 oct 2019

Serie de la publicación

Nombre5th IEEE International Smart Cities Conference, ISC2 2019

Conferencia

Conferencia5th IEEE International Smart Cities Conference, ISC2 2019
País/TerritorioMarruecos
CiudadCasablanca
Período14/10/1917/10/19

Nota bibliográfica

Publisher Copyright:
© 2019 IEEE.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

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