Optimal Sizing and Routing of Access Points in the Station Network of the Quito Metro as an Advance to a Smart City

Cesar Antonio Zapata Ayala; Joseph Alexander Rocha Alomoto; Cesar Steven Almeida Jimenez; Estiven Israel Quito Flores; Esteban Mauricio Inga Ortega

doi:doi:10.11648/j.ijees.20220706.12

Optimal Sizing and Routing of Access Points in the Station Network of the Quito Metro as an Advance to a Smart City

Cesar Antonio Zapata Ayala, Joseph Alexander Rocha Alomoto, Cesar Steven Almeida Jimenez, Estiven Israel Quito Flores, Esteban Mauricio Inga Ortega

Published in International Journal of Energy and Environmental Science (Volume 7, Issue 6)

Received: 19 September 2022 Accepted: 2 December 2022 Published: 29 December 2022

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Abstract

Smart cities today have become an example of technological development progress, since they greatly improve the quality of life of its inhabitants through the use of intelligent systems and networks, in addition to communication in times very close to the real time between different access points where people could connect safely and efficiently, the Quito metro is a new project and the first underground metro built in Ecuador, so at a historical level there is no precedent for it. The following document presents the optimization, dimensioning and routing of intelligent communication networks throughout the stations of the future Quito metro, with the aim of demonstrating the advantage of having intelligent stations that allow passengers to know exactly where the unit is located. to which you want to go and the departure and arrival times of the same, together with free internet access that is visible in each of the stations, whether main or secondary in the metro, through the Dijkstra algorithm method used for the Optimum routing between access points with the aim of minimizing the cost between them starting from a central or origin point to secondary points of the same system, used mainly in communication networks of new systems and current technologies.

Published in	International Journal of Energy and Environmental Science (Volume 7, Issue 6)
DOI	10.11648/j.ijees.20220706.12
Page(s)	109-115
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Communication, Networks, Optimization, Routing, Sizing, Smart Cities, Transport

References

[1]	Rama Krishna Reddy KummithaJ, 2019. “Smart cities and entrepreneurship: An agenda for future research”. Newcastle Business School, Northumbria University, Newcastle, UK.
[2]	Hrelja, R, Jamil, K, Pettersson, F, 2019. “Cómo crear sistemas de transporte público Una revision sisemática de problemas críticos y enfoques para abordar”. Science Direct.
[3]	Kampeerawart, W, Koseki, T, 2017. “A strategy for utilitation of regenerative energy in urban railways system by application of smart train scheduling and wayside energy”. Energy Procedia, Volume 138.
[4]	F., Ren, F., Yuen, K. F., Guo, Y., Zhao, C., & Guo, D. (2019). The spatial coupling effect between urban public transport and commercial complexes: A network centrality perspective. Sustainable Cities and Society, 50, 101645.
[5]	K. Anastasiadou, S. Vougias. “Smart or sustainably smart urban road networks. The most important commercial street in Thessaloniki as a case study”. Transport Policy, Volume 82, Pages 18-25.
[6]	Kenyon, S., Lyons, G., 2003. The value of integrated multimodal traveller information and its potential contribution to modal change. Transp. Res. Part F 6 (1), 1–21.
[7]	Shahrokni, H., Arman, L., Lazarevic, D., Nilsson, A., Brandt, N., 2015. “Implementing smart urban metabolism in the stockholm royal seaport”. J. Ind. Ecol. 19 (5), 917–929.
[8]	lIgor Kotenko, Sergey Ageev, 2019. “Hierarchical fuzzy situational networks for online decision-making: Application to telecommunication systems”. Knowledge-Based Systems, Volume 185.
[9]	Ikram Ud Din, Mohsen Guizani, Joel J. P. C. Rodrigues, Suhaidi Hassan, Valery, V, Korotaev. “Machine learning in the Internet of Things: Designed techniques for smart cities”. Future Generation Computer Systems Volume 100, November 2019, Pages 826-843.
[10]	Hou, Y., He, M., & Zhang, S. (2012). Origin-destination matrix estimation method based on bus smart card records. Journal of Transport Information and Safety, 30, 109–114. Ibarra-Rojas, O. J., Delgado, F., Giesen, R., & Muñoz, J. C. (2015). Planning, operation, and control of bus transport systems: A literature review. Transportation Research Part B: Methodological, 77, 38–75.
[11]	Barry, J., Freimer, R., & Slavin, H. (2009). Use of entry-only automatic fare collection data to estimate linked transit trips in New York City. Transportation Research Record: Journal of the Transportation Research Board, 2112, 53–61.
[12]	Henrique Moura, Alisson R. Alves, Jonas R. A. Borges, Daniel F. Macedo, Marcos A. M. Vieira, 2019.” Ethanol: A Software-Defined Wireless Networking architecture for IEEE 802.11 networks”. Computer Communications Volume 149, January 2020, Pages 176-188.
[13]	Y. U. Xiu-wu, Y. U. Hao, Liu Yong, and Xiao Ren-rong, 2019. “A clustering routing algorithm based on wolf pack algorithm for heterogeneous wireless sensor networks”. Computer Networks, Volume 167, 11 February 2020, 106994.
[14]	S. Gautama, “Smart M obility,” no. September, pp. 16–19, 2018.
[15]	C. Sungur, “Smart Bus Station-Passenger Information System,” 2015 2nd Int. Conf. Inf. Sci. Control Eng., pp. 921–925, 2015.
[16]	R. Rathod, “SMART ASSISTANCE FOR PUBLIC,” IEEE, pp. 3–7, 2017.
[17]	M. Ghareeb, A. Ghamlous, H. Hamdan, A. Bazzi, and S. Abdul-nabi, “Smart Bus : A Tracking System for School Buses,” 2017.
[18]	V. Janoš and M. K. Íž, “Smart Urban Transport,” no. 1, pp. 1–5, 2018.
[19]	P. Kong and S. Member, “With Interdependent Communication and Power Networks in Smart Grid,” IEEE Trans. Smart Grid, vol. 10, no. 1, pp. 74–83, 2019.
[20]	I. Makarova, K. Shubenkova, V. Mavrin, and A. Katunin, “Development of Sustainable Transport in Smart Cities,” 2017.
[21]	D. Vakula and B. Raviteja, “Smart Public Transport for Smart Cities,” 2017 Int. Conf. Intell. Sustain. Syst., no. Iciss, pp. 805–810, 2017.
[22]	M. Kamal, M. Atif, H. Mujahid, T. Shanableh, and A. Al Nabulsi, “IoT Based Smart Bus Stops,” 2019 3rd Int. Conf. Smart Grid Smart Cities, pp. 6–9, 2019.
[23]	A. J. Kadam, V. Patil, K. Kaith, and M. D. Patil, “Developing a Smart Bus for Smart City using IOT Technology,” 2018 Second Int. Conf. Electron. Commun. Aerosp. Technol., no. Iceca, pp. 1138–1143, 2018.
[24]	P. Zhou, S. Member, Y. Zheng, and S. Member, “How Long to Wait ? Predicting Bus Arrival Time With Mobile Phone Based Participatory Sensing,” vol. 13, no. 6, pp. 1228–1241, 2014.
[25]	B. Yin and X. Wei, “Communication-Efficient Data Aggregation Tree Construction for Complex Queries in IoT Applications,” IEEE Internet Things J., vol. 6, no. 2, pp. 3352–3363, 2019.
[26]	S. Sharad, B. S. P, and A. N. V, “The Smart Bus for a Smart City - A real-time implementation,” 2016 IEEE Int. Conf. Adv. Networks Telecommun. Syst., pp. 1–6.

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APA Style

Cesar Antonio Zapata Ayala, Joseph Alexander Rocha Alomoto, Cesar Steven Almeida Jimenez, Estiven Israel Quito Flores, Esteban Mauricio Inga Ortega. (2022). Optimal Sizing and Routing of Access Points in the Station Network of the Quito Metro as an Advance to a Smart City. International Journal of Energy and Environmental Science, 7(6), 109-115. https://doi.org/10.11648/j.ijees.20220706.12

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ACS Style

Cesar Antonio Zapata Ayala; Joseph Alexander Rocha Alomoto; Cesar Steven Almeida Jimenez; Estiven Israel Quito Flores; Esteban Mauricio Inga Ortega. Optimal Sizing and Routing of Access Points in the Station Network of the Quito Metro as an Advance to a Smart City. Int. J. Energy Environ. Sci. 2022, 7(6), 109-115. doi: 10.11648/j.ijees.20220706.12

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AMA Style

Cesar Antonio Zapata Ayala, Joseph Alexander Rocha Alomoto, Cesar Steven Almeida Jimenez, Estiven Israel Quito Flores, Esteban Mauricio Inga Ortega. Optimal Sizing and Routing of Access Points in the Station Network of the Quito Metro as an Advance to a Smart City. Int J Energy Environ Sci. 2022;7(6):109-115. doi: 10.11648/j.ijees.20220706.12

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@article{10.11648/j.ijees.20220706.12,
  author = {Cesar Antonio Zapata Ayala and Joseph Alexander Rocha Alomoto and Cesar Steven Almeida Jimenez and Estiven Israel Quito Flores and Esteban Mauricio Inga Ortega},
  title = {Optimal Sizing and Routing of Access Points in the Station Network of the Quito Metro as an Advance to a Smart City},
  journal = {International Journal of Energy and Environmental Science},
  volume = {7},
  number = {6},
  pages = {109-115},
  doi = {10.11648/j.ijees.20220706.12},
  url = {https://doi.org/10.11648/j.ijees.20220706.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijees.20220706.12},
  abstract = {Smart cities today have become an example of technological development progress, since they greatly improve the quality of life of its inhabitants through the use of intelligent systems and networks, in addition to communication in times very close to the real time between different access points where people could connect safely and efficiently, the Quito metro is a new project and the first underground metro built in Ecuador, so at a historical level there is no precedent for it. The following document presents the optimization, dimensioning and routing of intelligent communication networks throughout the stations of the future Quito metro, with the aim of demonstrating the advantage of having intelligent stations that allow passengers to know exactly where the unit is located. to which you want to go and the departure and arrival times of the same, together with free internet access that is visible in each of the stations, whether main or secondary in the metro, through the Dijkstra algorithm method used for the Optimum routing between access points with the aim of minimizing the cost between them starting from a central or origin point to secondary points of the same system, used mainly in communication networks of new systems and current technologies.},
 year = {2022}
}

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TY  - JOUR
T1  - Optimal Sizing and Routing of Access Points in the Station Network of the Quito Metro as an Advance to a Smart City
AU  - Cesar Antonio Zapata Ayala
AU  - Joseph Alexander Rocha Alomoto
AU  - Cesar Steven Almeida Jimenez
AU  - Estiven Israel Quito Flores
AU  - Esteban Mauricio Inga Ortega
Y1  - 2022/12/29
PY  - 2022
N1  - https://doi.org/10.11648/j.ijees.20220706.12
DO  - 10.11648/j.ijees.20220706.12
T2  - International Journal of Energy and Environmental Science
JF  - International Journal of Energy and Environmental Science
JO  - International Journal of Energy and Environmental Science
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EP  - 115
PB  - Science Publishing Group
SN  - 2578-9546
UR  - https://doi.org/10.11648/j.ijees.20220706.12
AB  - Smart cities today have become an example of technological development progress, since they greatly improve the quality of life of its inhabitants through the use of intelligent systems and networks, in addition to communication in times very close to the real time between different access points where people could connect safely and efficiently, the Quito metro is a new project and the first underground metro built in Ecuador, so at a historical level there is no precedent for it. The following document presents the optimization, dimensioning and routing of intelligent communication networks throughout the stations of the future Quito metro, with the aim of demonstrating the advantage of having intelligent stations that allow passengers to know exactly where the unit is located. to which you want to go and the departure and arrival times of the same, together with free internet access that is visible in each of the stations, whether main or secondary in the metro, through the Dijkstra algorithm method used for the Optimum routing between access points with the aim of minimizing the cost between them starting from a central or origin point to secondary points of the same system, used mainly in communication networks of new systems and current technologies.
VL  - 7
IS  - 6
ER  -

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Author Information

Cesar Antonio Zapata Ayala

Faculty of Electrical Engineering, Salesian Polytechnic University, Quito, Ecuador
Joseph Alexander Rocha Alomoto

Faculty of Electrical Engineering, Salesian Polytechnic University, Quito, Ecuador
Cesar Steven Almeida Jimenez

Faculty of Electrical Engineering, Salesian Polytechnic University, Quito, Ecuador
Estiven Israel Quito Flores

Faculty of Electrical Engineering, Salesian Polytechnic University, Quito, Ecuador
Esteban Mauricio Inga Ortega

Member IEEE, Quito, Ecuador

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APA Style

Cesar Antonio Zapata Ayala, Joseph Alexander Rocha Alomoto, Cesar Steven Almeida Jimenez, Estiven Israel Quito Flores, Esteban Mauricio Inga Ortega. (2022). Optimal Sizing and Routing of Access Points in the Station Network of the Quito Metro as an Advance to a Smart City. International Journal of Energy and Environmental Science, 7(6), 109-115. https://doi.org/10.11648/j.ijees.20220706.12

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ACS Style

Cesar Antonio Zapata Ayala; Joseph Alexander Rocha Alomoto; Cesar Steven Almeida Jimenez; Estiven Israel Quito Flores; Esteban Mauricio Inga Ortega. Optimal Sizing and Routing of Access Points in the Station Network of the Quito Metro as an Advance to a Smart City. Int. J. Energy Environ. Sci. 2022, 7(6), 109-115. doi: 10.11648/j.ijees.20220706.12

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AMA Style

Cesar Antonio Zapata Ayala, Joseph Alexander Rocha Alomoto, Cesar Steven Almeida Jimenez, Estiven Israel Quito Flores, Esteban Mauricio Inga Ortega. Optimal Sizing and Routing of Access Points in the Station Network of the Quito Metro as an Advance to a Smart City. Int J Energy Environ Sci. 2022;7(6):109-115. doi: 10.11648/j.ijees.20220706.12

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@article{10.11648/j.ijees.20220706.12,
  author = {Cesar Antonio Zapata Ayala and Joseph Alexander Rocha Alomoto and Cesar Steven Almeida Jimenez and Estiven Israel Quito Flores and Esteban Mauricio Inga Ortega},
  title = {Optimal Sizing and Routing of Access Points in the Station Network of the Quito Metro as an Advance to a Smart City},
  journal = {International Journal of Energy and Environmental Science},
  volume = {7},
  number = {6},
  pages = {109-115},
  doi = {10.11648/j.ijees.20220706.12},
  url = {https://doi.org/10.11648/j.ijees.20220706.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijees.20220706.12},
  abstract = {Smart cities today have become an example of technological development progress, since they greatly improve the quality of life of its inhabitants through the use of intelligent systems and networks, in addition to communication in times very close to the real time between different access points where people could connect safely and efficiently, the Quito metro is a new project and the first underground metro built in Ecuador, so at a historical level there is no precedent for it. The following document presents the optimization, dimensioning and routing of intelligent communication networks throughout the stations of the future Quito metro, with the aim of demonstrating the advantage of having intelligent stations that allow passengers to know exactly where the unit is located. to which you want to go and the departure and arrival times of the same, together with free internet access that is visible in each of the stations, whether main or secondary in the metro, through the Dijkstra algorithm method used for the Optimum routing between access points with the aim of minimizing the cost between them starting from a central or origin point to secondary points of the same system, used mainly in communication networks of new systems and current technologies.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Optimal Sizing and Routing of Access Points in the Station Network of the Quito Metro as an Advance to a Smart City
AU  - Cesar Antonio Zapata Ayala
AU  - Joseph Alexander Rocha Alomoto
AU  - Cesar Steven Almeida Jimenez
AU  - Estiven Israel Quito Flores
AU  - Esteban Mauricio Inga Ortega
Y1  - 2022/12/29
PY  - 2022
N1  - https://doi.org/10.11648/j.ijees.20220706.12
DO  - 10.11648/j.ijees.20220706.12
T2  - International Journal of Energy and Environmental Science
JF  - International Journal of Energy and Environmental Science
JO  - International Journal of Energy and Environmental Science
SP  - 109
EP  - 115
PB  - Science Publishing Group
SN  - 2578-9546
UR  - https://doi.org/10.11648/j.ijees.20220706.12
AB  - Smart cities today have become an example of technological development progress, since they greatly improve the quality of life of its inhabitants through the use of intelligent systems and networks, in addition to communication in times very close to the real time between different access points where people could connect safely and efficiently, the Quito metro is a new project and the first underground metro built in Ecuador, so at a historical level there is no precedent for it. The following document presents the optimization, dimensioning and routing of intelligent communication networks throughout the stations of the future Quito metro, with the aim of demonstrating the advantage of having intelligent stations that allow passengers to know exactly where the unit is located. to which you want to go and the departure and arrival times of the same, together with free internet access that is visible in each of the stations, whether main or secondary in the metro, through the Dijkstra algorithm method used for the Optimum routing between access points with the aim of minimizing the cost between them starting from a central or origin point to secondary points of the same system, used mainly in communication networks of new systems and current technologies.
VL  - 7
IS  - 6
ER  -

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