A Queuing Network Based Optimization Model for Calculating Capacity of Subway Station

Capacity of subway station is an important factor to ensure the safety and improve the transportation efficiency. In this paper, based on the M/G/C/C state-dependent queuing model, a probabilistic selection optimization model is proposed to assess the capacity of the station. The goal of the model i...

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Main Authors: Hanchuan Pan, Zhigang Liu
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2017/4825802
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author Hanchuan Pan
Zhigang Liu
author_facet Hanchuan Pan
Zhigang Liu
author_sort Hanchuan Pan
collection DOAJ
description Capacity of subway station is an important factor to ensure the safety and improve the transportation efficiency. In this paper, based on the M/G/C/C state-dependent queuing model, a probabilistic selection optimization model is proposed to assess the capacity of the station. The goal of the model is to maximize the output rate of the station, and the decision variables of the model are the selection results of the passengers. Finally, this paper takes a subway station of Shanghai Metro as a case study and calculates the optimal selection probability. The proposed model could be used to analyze the average waiting time, congestion probability, and other evaluation indexes; at the same time, it verifies the validity and practicability of the model.
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institution Kabale University
issn 1026-0226
1607-887X
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publishDate 2017-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-e2fd40d15da24abb9c6caf9b4609ea432025-02-03T05:47:04ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2017-01-01201710.1155/2017/48258024825802A Queuing Network Based Optimization Model for Calculating Capacity of Subway StationHanchuan Pan0Zhigang Liu1Shanghai University of Engineering Science, Shanghai 201620, ChinaShanghai University of Engineering Science, Shanghai 201620, ChinaCapacity of subway station is an important factor to ensure the safety and improve the transportation efficiency. In this paper, based on the M/G/C/C state-dependent queuing model, a probabilistic selection optimization model is proposed to assess the capacity of the station. The goal of the model is to maximize the output rate of the station, and the decision variables of the model are the selection results of the passengers. Finally, this paper takes a subway station of Shanghai Metro as a case study and calculates the optimal selection probability. The proposed model could be used to analyze the average waiting time, congestion probability, and other evaluation indexes; at the same time, it verifies the validity and practicability of the model.http://dx.doi.org/10.1155/2017/4825802
spellingShingle Hanchuan Pan
Zhigang Liu
A Queuing Network Based Optimization Model for Calculating Capacity of Subway Station
Discrete Dynamics in Nature and Society
title A Queuing Network Based Optimization Model for Calculating Capacity of Subway Station
title_full A Queuing Network Based Optimization Model for Calculating Capacity of Subway Station
title_fullStr A Queuing Network Based Optimization Model for Calculating Capacity of Subway Station
title_full_unstemmed A Queuing Network Based Optimization Model for Calculating Capacity of Subway Station
title_short A Queuing Network Based Optimization Model for Calculating Capacity of Subway Station
title_sort queuing network based optimization model for calculating capacity of subway station
url http://dx.doi.org/10.1155/2017/4825802
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