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Simulation and evaluation of urban rail transit network based on multi-agent approach
dc.contributor.author | Yao, Xiangming |
dc.contributor.author | Zhao, Peng |
dc.contributor.author | Qiao, Ke |
dc.date.accessioned | 2013-04-10T15:22:43Z |
dc.date.available | 2013-04-10T15:22:43Z |
dc.date.issued | 2013-04 |
dc.identifier.citation | Yao, Xiangming; Zhao, Peng; Qiao, Ke. Simulation and evaluation of urban rail transit network based on multi-agent approach. "Journal of Industrial Engineering and Management", Abril 2013, vol. 6, núm. 1, p. 367-379. |
dc.identifier.issn | 2013-0953 |
dc.identifier.uri | http://hdl.handle.net/2099/13161 |
dc.description.abstract | Purpose: 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. Design/methodology/approach: 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. Findings: Research limitations/implications: 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. Practical implications: The main implications of this work are to provide decision support for traffic management, making train operation plan and dispatching measures in emergency. Originality/value: 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. |
dc.format.extent | 13 p. |
dc.language.iso | eng |
dc.publisher | School of Industrial and Aeronautic Engineering of Terrassa (ETSEIAT). Universitat Politècnica de Catalunya (UPC) |
dc.rights | Attribution-NonCommercial 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions::Modelització de transports i logística |
dc.subject | Àrees temàtiques de la UPC::Enginyeria civil::Infraestructures i modelització dels transports::Infraestructures i transport ferroviari |
dc.subject.lcsh | Railroads - Mathematicals models |
dc.subject.other | Urban rail transit network, agent-oriented modeling |
dc.subject.other | Dynamic passenger flow distribution |
dc.subject.other | Decision support |
dc.title | Simulation and evaluation of urban rail transit network based on multi-agent approach |
dc.type | Article |
dc.subject.lemac | Ferrocarrils -- Models matemàtics |
dc.identifier.dl | B-28744-2008 |
dc.description.peerreviewed | Peer Reviewed |
dc.rights.access | Open Access |
local.citation.author | Yao, Xiangming; Zhao, Peng; Qiao, Ke |
local.citation.publicationName | Journal of Industrial Engineering and Management |
local.citation.volume | 6 |
local.citation.number | 1 |
local.citation.startingPage | 367 |
local.citation.endingPage | 379 |
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2013, vol. 6, núm. 1 [32]
Special Issue – LISS 2012