文章基本信息

标题：Transit network design with meta-heuristic algorithms and agent based simulation
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作者：Obiora A. Nnene ; Johan W. Joubert ; Mark H.P. Zuidgeest 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：3
页码：13-18
DOI：10.1016/j.ifacol.2019.06.003
语种：English
出版社：Elsevier
摘要：AbstractIn this work, a transit network design problem is presented. The problem is identified as a typical large-scale complex system. Subsequently, it is decomposed into its sub-components. The first two sub-components, which encompass the network design and frequency setting problems, are then tackled by means of an innovative solution framework that combines a genetic algorithm with agent-based travel demand modelling. An analysis of results obtained from applying the proposed method to different testing scenarios shows that it is capable of designing transit networks that address the individual and collective perspectives of different stakeholders. Hence it can be used as a viable decision support tool for policy makers in the transportation network sector.
关键词：Keywordstransit network designgenetic algorithmagent based modellinglarge scale complex systemoptimisation