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dc.contributor.author | Nnene, Obiora A.![]() |
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dc.contributor.author | Joubert, Johannes Willem![]() |
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dc.contributor.author | Zuidgeest, Mark H.P.![]() |
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dc.date.accessioned | 2019-11-14T08:31:22Z | |
dc.date.available | 2019-11-14T08:31:22Z | |
dc.date.issued | 2019 | |
dc.description.abstract | In 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. | en_ZA |
dc.description.department | Industrial and Systems Engineering | en_ZA |
dc.description.librarian | hj2019 | en_ZA |
dc.description.uri | https://www.journals.elsevier.com/ifac-papersonline | en_ZA |
dc.identifier.citation | Nnene, O.A., Joubert, J.W. & Zuidgeest, M.H.P. 2019, 'Transit network design with meta-heuristic algorithms and agent based simulation', IFAC-PapersOnLine, vol. 52, no. 3, pp. 13-18. | en_ZA |
dc.identifier.issn | 1474-6670 (print) | |
dc.identifier.issn | 2405-8963 (online) | |
dc.identifier.other | 10.1016/j.ifacol.2019.06.003 | |
dc.identifier.uri | http://hdl.handle.net/2263/72268 | |
dc.language.iso | en | en_ZA |
dc.publisher | International Federation of Automatic Control | en_ZA |
dc.rights | © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. | en_ZA |
dc.subject | Optimisation | en_ZA |
dc.subject | Large scale complex system | en_ZA |
dc.subject | Agent based modelling | en_ZA |
dc.subject | Transit network design | en_ZA |
dc.subject | Genetic algorithm | en_ZA |
dc.title | Transit network design with meta-heuristic algorithms and agent based simulation | en_ZA |
dc.type | Article | en_ZA |