Double deck elevator group control systems using evolutionary algorithms: interfloor and lunchpeak traffic analysis

The continuous development of high-rise buildings around the world requires the installation of efficient elevator systems able to vertically transport the different passengers along the buildings in their daily journeys. Double deck elevators can increase the efficiency of these vertical transporta...

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Autores: Cortés, Pablo, Muñuzuri, Jesús, Vázquez Ledesma, Alejandro, Onieva, Luis
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2021
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/163155
Acceso en línea:https://hdl.handle.net/11441/163155
https://doi.org/10.1016/j.cie.2021.107190
Access Level:acceso abierto
Palabra clave:Double deck
Elevator group control system
Vertical transportation
Traffic pattern
Genetic algorithm
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spelling Double deck elevator group control systems using evolutionary algorithms: interfloor and lunchpeak traffic analysisCortés, PabloMuñuzuri, JesúsVázquez Ledesma, AlejandroOnieva, LuisDouble deckElevator group control systemVertical transportationTraffic patternGenetic algorithmThe continuous development of high-rise buildings around the world requires the installation of efficient elevator systems able to vertically transport the different passengers along the buildings in their daily journeys. Double deck elevators can increase the efficiency of these vertical transportation systems. Double deck elevators consist of two adjacent cabins that are joined and travel together along the same shaft, so the handling capacity of the system can be improved by allowing the dispatch of passengers with destination to two consecutive floors at the same instant. This type of architecture emerges as especially appropriate for uppeak traffic conditions. However, its suitability has not been sufficiently analysed for non-dominant (up or down) traffic patterns, such as interfloor and lunchpeak traffic. Our paper deals with conventionally controlled double deck elevators, where the Elevator Group Control System (EGCS) requires specific car-landing call allocation algorithms able to manage such special car architectures. Along this line, we propose a genetic algorithm that demonstrated a good performance when compared to a tabu search algorithm that was used as benchmark for comparison, taking into account different fitness evaluation functions (overall dispatching time and nearest call). The analysis was undertaken for interfloor and lunchpeak traffics and the average waiting, transit and journey times, and the energy consumption are reported as performance indexes of the vertical transportation system. The algorithms produced efficient results outperforming the considered benchmark and emerged as very competitive algorithms considering all the performance indexes as a whole. Results were tested using ELEVATE, the standard simulation software for vertical transportation.ElsevierOrganización Industrial y Gestión de Empresas IITEP127: Ingeniería de Organización2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/163155https://doi.org/10.1016/j.cie.2021.107190reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésComputers & Industrial Engineering, 155, 107190.https://www.sciencedirect.com/science/article/pii/S0360835221000942info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1631552026-06-17T12:51:07Z
dc.title.none.fl_str_mv Double deck elevator group control systems using evolutionary algorithms: interfloor and lunchpeak traffic analysis
title Double deck elevator group control systems using evolutionary algorithms: interfloor and lunchpeak traffic analysis
spellingShingle Double deck elevator group control systems using evolutionary algorithms: interfloor and lunchpeak traffic analysis
Cortés, Pablo
Double deck
Elevator group control system
Vertical transportation
Traffic pattern
Genetic algorithm
title_short Double deck elevator group control systems using evolutionary algorithms: interfloor and lunchpeak traffic analysis
title_full Double deck elevator group control systems using evolutionary algorithms: interfloor and lunchpeak traffic analysis
title_fullStr Double deck elevator group control systems using evolutionary algorithms: interfloor and lunchpeak traffic analysis
title_full_unstemmed Double deck elevator group control systems using evolutionary algorithms: interfloor and lunchpeak traffic analysis
title_sort Double deck elevator group control systems using evolutionary algorithms: interfloor and lunchpeak traffic analysis
dc.creator.none.fl_str_mv Cortés, Pablo
Muñuzuri, Jesús
Vázquez Ledesma, Alejandro
Onieva, Luis
author Cortés, Pablo
author_facet Cortés, Pablo
Muñuzuri, Jesús
Vázquez Ledesma, Alejandro
Onieva, Luis
author_role author
author2 Muñuzuri, Jesús
Vázquez Ledesma, Alejandro
Onieva, Luis
author2_role author
author
author
dc.contributor.none.fl_str_mv Organización Industrial y Gestión de Empresas II
TEP127: Ingeniería de Organización
dc.subject.none.fl_str_mv Double deck
Elevator group control system
Vertical transportation
Traffic pattern
Genetic algorithm
topic Double deck
Elevator group control system
Vertical transportation
Traffic pattern
Genetic algorithm
description The continuous development of high-rise buildings around the world requires the installation of efficient elevator systems able to vertically transport the different passengers along the buildings in their daily journeys. Double deck elevators can increase the efficiency of these vertical transportation systems. Double deck elevators consist of two adjacent cabins that are joined and travel together along the same shaft, so the handling capacity of the system can be improved by allowing the dispatch of passengers with destination to two consecutive floors at the same instant. This type of architecture emerges as especially appropriate for uppeak traffic conditions. However, its suitability has not been sufficiently analysed for non-dominant (up or down) traffic patterns, such as interfloor and lunchpeak traffic. Our paper deals with conventionally controlled double deck elevators, where the Elevator Group Control System (EGCS) requires specific car-landing call allocation algorithms able to manage such special car architectures. Along this line, we propose a genetic algorithm that demonstrated a good performance when compared to a tabu search algorithm that was used as benchmark for comparison, taking into account different fitness evaluation functions (overall dispatching time and nearest call). The analysis was undertaken for interfloor and lunchpeak traffics and the average waiting, transit and journey times, and the energy consumption are reported as performance indexes of the vertical transportation system. The algorithms produced efficient results outperforming the considered benchmark and emerged as very competitive algorithms considering all the performance indexes as a whole. Results were tested using ELEVATE, the standard simulation software for vertical transportation.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/163155
https://doi.org/10.1016/j.cie.2021.107190
url https://hdl.handle.net/11441/163155
https://doi.org/10.1016/j.cie.2021.107190
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Computers & Industrial Engineering, 155, 107190.
https://www.sciencedirect.com/science/article/pii/S0360835221000942
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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