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The design of public transit networks with heuristic algorithms : case study Cape Town

Includes bibliographical references.

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Bibliographic Details
Main Author: Nnene, Obiora A
Other Authors: Zuidgeest, Mark
Format: Thesis
Language:English
Published: Department of Civil Engineering 2015
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access_status_str Open Access
author Nnene, Obiora A
author2 Zuidgeest, Mark
author_browse Nnene, Obiora A
Zuidgeest, Mark
author_facet Zuidgeest, Mark
Nnene, Obiora A
author_sort Nnene, Obiora A
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/13368
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:41.762Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher Department of Civil Engineering
publisherStr Department of Civil Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/13368 The design of public transit networks with heuristic algorithms : case study Cape Town Nnene, Obiora A Zuidgeest, Mark Beukes, Edward Andrew Civil Engineering Includes bibliographical references. The Transit Network Design Problem (TNDP) is well-researched in the field of transportation planning. It deals with the design of optimized public transportation networks and systems, and belongs to the class of non-linear optimization problems. In solving the problem, attempts are made to balance the tradeoffs between utility maximization and cost minimization given some resource constraints, within the context of a transportation network. In this dissertation, the design of a public transit network is undertaken and tested for Cape Town. The focus of the research is on obtaining an optimal network configuration that minimizes cost for both users and operators of the network. In doing so, heuristic solution algorithms are implemented in the design process, since they are known to generate better results for non-linear optimization problems than analytical ones. This algorithm which is named a Bus Route Network Design Algorithm (BRNDA) is based on genetic algorithms. Furthermore, it has three key components namely: 1) Bus Route Network Generation Algorithm (BRNGA) - which generates the potential network solutions; 2) Bus Route Network Analysis Procedure (BRNAP) - which evaluates the generated solutions; 3) Bus Route Network Search Algorithm (BRNSA) - which searches for an optimal or near optimal network option, among the feasible ones. The solution approach is tested first on a small scale network to demonstrate its numerical results, then it is applied to a large scale network, namely the Cape Town road network. 2015-07-03T10:31:23Z 2015-07-03T10:31:23Z 2014 Master Thesis Masters MSc http://hdl.handle.net/11427/13368 eng application/pdf Department of Civil Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Civil Engineering
Nnene, Obiora A
The design of public transit networks with heuristic algorithms : case study Cape Town
thesis_degree_str Master's
title The design of public transit networks with heuristic algorithms : case study Cape Town
title_full The design of public transit networks with heuristic algorithms : case study Cape Town
title_fullStr The design of public transit networks with heuristic algorithms : case study Cape Town
title_full_unstemmed The design of public transit networks with heuristic algorithms : case study Cape Town
title_short The design of public transit networks with heuristic algorithms : case study Cape Town
title_sort design of public transit networks with heuristic algorithms case study cape town
topic Civil Engineering
url http://hdl.handle.net/11427/13368
work_keys_str_mv AT nneneobioraa thedesignofpublictransitnetworkswithheuristicalgorithmscasestudycapetown
AT nneneobioraa designofpublictransitnetworkswithheuristicalgorithmscasestudycapetown