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

doi:10.1109/ISC246665.2019.9071778

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

Research Group on Spatial Data Infrastructure Artificial Intelligence Geoportals and Applied Computing (IDE IA GEO CA)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

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.

Original language	English
Title of host publication	5th IEEE International Smart Cities Conference, ISC2 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	181-186
Number of pages	6
ISBN (Electronic)	9781728108469
DOIs	https://doi.org/10.1109/ISC246665.2019.9071778
State	Published - Oct 2019
Event	5th IEEE International Smart Cities Conference, ISC2 2019 - Casablanca, Morocco Duration: 14 Oct 2019 → 17 Oct 2019

Publication series

Name	5th IEEE International Smart Cities Conference, ISC2 2019

Conference

Conference	5th IEEE International Smart Cities Conference, ISC2 2019
Country/Territory	Morocco
City	Casablanca
Period	14/10/19 → 17/10/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Bayesian inference
counting of passengers
origin destination matrix
smart cities
Smart mobility

Access to Document

10.1109/ISC246665.2019.9071778

Cite this

Zapata, L. P., Flores, M., Larios, V., Maciel, R., & Antunez, E. A. (2019). 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. In 5th IEEE International Smart Cities Conference, ISC2 2019 (pp. 181-186). Article 9071778 (5th IEEE International Smart Cities Conference, ISC2 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISC246665.2019.9071778

Zapata, Lina Patrica ; Flores, Marco ; Larios, Victor et al. / 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. 5th IEEE International Smart Cities Conference, ISC2 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 181-186 (5th IEEE International Smart Cities Conference, ISC2 2019).

@inproceedings{ff79611b71ff4edfaf6aabb37d60f284,

title = "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",

abstract = "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.",

keywords = "Bayesian inference, counting of passengers, origin destination matrix, smart cities, Smart mobility",

author = "Zapata, \{Lina Patrica\} and Marco Flores and Victor Larios and Rocio Maciel and Antunez, \{Enrique Arias\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 5th IEEE International Smart Cities Conference, ISC2 2019 ; Conference date: 14-10-2019 Through 17-10-2019",

year = "2019",

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language = "English",

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Zapata, LP, Flores, M, Larios, V, Maciel, R & Antunez, EA 2019, 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. in 5th IEEE International Smart Cities Conference, ISC2 2019., 9071778, 5th IEEE International Smart Cities Conference, ISC2 2019, Institute of Electrical and Electronics Engineers Inc., pp. 181-186, 5th IEEE International Smart Cities Conference, ISC2 2019, Casablanca, Morocco, 14/10/19. https://doi.org/10.1109/ISC246665.2019.9071778

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. / Zapata, Lina Patrica; Flores, Marco; Larios, Victor et al.
5th IEEE International Smart Cities Conference, ISC2 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 181-186 9071778 (5th IEEE International Smart Cities Conference, ISC2 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Maciel, Rocio

AU - Antunez, Enrique Arias

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N2 - 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.

AB - 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.

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ER -

Zapata LP, Flores M, Larios V, Maciel R, Antunez EA. 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. In 5th IEEE International Smart Cities Conference, ISC2 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 181-186. 9071778. (5th IEEE International Smart Cities Conference, ISC2 2019). doi: 10.1109/ISC246665.2019.9071778

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

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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