An agent-based evaluation of transit network design

dc.contributor.authorNnene, Obiora A.
dc.contributor.authorJoubert, Johannes Willem
dc.contributor.authorZuidgeest, Mark H.P.
dc.date.accessioned2020-03-17T09:17:56Z
dc.date.available2020-03-17T09:17:56Z
dc.date.issued2019
dc.description.abstractThis article presents the design and evaluation of transit networks using a route expansion heuristic and agent-based travel demand simulation. The route expansion mechanism is a type of constructive heuristic algorithm that derives new transit routes by inserting neighbouring nodes into existing routes with the aim of improving the demand coverage. The resulting networks are evaluated with an agent-based travel demand simulation model. The use of agent-based modelling is a departure from the existing route expansion literature and indeed the broader transit network design discipline in which the four step model has been extensively used. The procedure is tested on a bus rapid transit network in the City of Cape Town in South Africa.en_ZA
dc.description.departmentIndustrial and Systems Engineeringen_ZA
dc.description.librarianam2020en_ZA
dc.description.urihttps://www.journals.elsevier.com/procedia-computer-scienceen_ZA
dc.identifier.citationNnene, O.A., Joubert, J.W. & Zuidgeest, M.H.P. 2019, 'An agent-based evaluation of transit network design', Procedia Computer Science, vol. 151, pp. 757-762.en_ZA
dc.identifier.issn1877-0509 (online)
dc.identifier.other10.1016/j.procs.2019.04.102
dc.identifier.urihttp://hdl.handle.net/2263/73778
dc.language.isoenen_ZA
dc.publisherElsevieren_ZA
dc.rights© 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_ZA
dc.subjectTransit network designen_ZA
dc.subjectAgent-based simulationen_ZA
dc.subjectNetwork evaluationen_ZA
dc.subjectRoute expansionen_ZA
dc.subjectNode insertionen_ZA
dc.subjectConstructive algorithmsen_ZA
dc.titleAn agent-based evaluation of transit network designen_ZA
dc.typeArticleen_ZA

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Nnene_AgentBased_2019.pdf
Size:
402.93 KB
Format:
Adobe Portable Document Format
Description:
Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: