Simulation and evaluation of urban rail transit network based on multi-agent approach

<p class="Abstract"><strong><em>Purpose:</em></strong> Urban rail transit is a complex and dynamic system, which is difficult to be described in a global mathematical model for its scale and interaction. In order to analyze the spatial and temporal characteris...

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Main Authors: Xiangming Yao, Peng Zhao, Ke Qiao
Format: Article
Language:English
Published: OmniaScience 2013-03-01
Series:Journal of Industrial Engineering and Management
Subjects:
Online Access:http://www.jiem.org/index.php/jiem/article/view/686
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author Xiangming Yao
Peng Zhao
Ke Qiao
author_facet Xiangming Yao
Peng Zhao
Ke Qiao
author_sort Xiangming Yao
collection DOAJ
description <p class="Abstract"><strong><em>Purpose:</em></strong> Urban rail transit is a complex and dynamic system, which is difficult to be described in a global mathematical model for its scale and interaction. In order to analyze the spatial and temporal characteristics of passenger flow distribution and evaluate the effectiveness of transportation strategies, a new and comprehensive method depicted such dynamic system should be given. This study therefore aims at using simulation approach to solve this problem for subway network.</p> <p class="Abstract"><strong><em>Design/methodology/approach:</em></strong> In this thesis a simulation model based on multi-agent approach has been proposed, which is a well suited method to design complex systems. The model includes the specificities of passengers’ travelling behaviors and takes into account of interactions between travelers and trains.</p> <p class="Abstract"><strong><em>Findings:</em></strong> <strong><em>Research limitations/implications:</em></strong> We developed an urban rail transit simulation tool for verification of the validity and accuracy of this model, using real passenger flow data of Beijing subway network to take a case study, results show that our simulation tool can be used to analyze the characteristic of passenger flow distribution and evaluate operation strategies well.</p> <p class="Abstract"><strong><em>Practical implications:</em></strong> The main implications of this work are to provide decision support for traffic management, making train operation plan and dispatching measures in emergency.</p> <p class="Abstract"><strong><em>Originality/value:</em></strong> A new and comprehensive method to analyze and evaluate subway network is presented, accuracy and computational efficiency of the model has been confirmed and meet with the actual needs for large-scale network.</p>
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spelling doaj.art-728e40b3c17b44e58421a03382b0c03f2022-12-22T02:42:40ZengOmniaScienceJournal of Industrial Engineering and Management2013-84232013-09532013-03-016136737910.3926/jiem.686176Simulation and evaluation of urban rail transit network based on multi-agent approachXiangming Yao0Peng Zhao1Ke Qiao2School of Traffic and Transportation, Beijing Jiaotong UniversitySchool of Traffic and Transportation, Beijing Jiaotong UniversitySchool of Traffic and Transportation, Beijing Jiaotong University<p class="Abstract"><strong><em>Purpose:</em></strong> Urban rail transit is a complex and dynamic system, which is difficult to be described in a global mathematical model for its scale and interaction. In order to analyze the spatial and temporal characteristics of passenger flow distribution and evaluate the effectiveness of transportation strategies, a new and comprehensive method depicted such dynamic system should be given. This study therefore aims at using simulation approach to solve this problem for subway network.</p> <p class="Abstract"><strong><em>Design/methodology/approach:</em></strong> In this thesis a simulation model based on multi-agent approach has been proposed, which is a well suited method to design complex systems. The model includes the specificities of passengers’ travelling behaviors and takes into account of interactions between travelers and trains.</p> <p class="Abstract"><strong><em>Findings:</em></strong> <strong><em>Research limitations/implications:</em></strong> We developed an urban rail transit simulation tool for verification of the validity and accuracy of this model, using real passenger flow data of Beijing subway network to take a case study, results show that our simulation tool can be used to analyze the characteristic of passenger flow distribution and evaluate operation strategies well.</p> <p class="Abstract"><strong><em>Practical implications:</em></strong> The main implications of this work are to provide decision support for traffic management, making train operation plan and dispatching measures in emergency.</p> <p class="Abstract"><strong><em>Originality/value:</em></strong> A new and comprehensive method to analyze and evaluate subway network is presented, accuracy and computational efficiency of the model has been confirmed and meet with the actual needs for large-scale network.</p>http://www.jiem.org/index.php/jiem/article/view/686urban rail transit network, agent-oriented modeling, dynamic passenger flow distribution, decision support
spellingShingle Xiangming Yao
Peng Zhao
Ke Qiao
Simulation and evaluation of urban rail transit network based on multi-agent approach
Journal of Industrial Engineering and Management
urban rail transit network, agent-oriented modeling, dynamic passenger flow distribution, decision support
title Simulation and evaluation of urban rail transit network based on multi-agent approach
title_full Simulation and evaluation of urban rail transit network based on multi-agent approach
title_fullStr Simulation and evaluation of urban rail transit network based on multi-agent approach
title_full_unstemmed Simulation and evaluation of urban rail transit network based on multi-agent approach
title_short Simulation and evaluation of urban rail transit network based on multi-agent approach
title_sort simulation and evaluation of urban rail transit network based on multi agent approach
topic urban rail transit network, agent-oriented modeling, dynamic passenger flow distribution, decision support
url http://www.jiem.org/index.php/jiem/article/view/686
work_keys_str_mv AT xiangmingyao simulationandevaluationofurbanrailtransitnetworkbasedonmultiagentapproach
AT pengzhao simulationandevaluationofurbanrailtransitnetworkbasedonmultiagentapproach
AT keqiao simulationandevaluationofurbanrailtransitnetworkbasedonmultiagentapproach