Browsing by Author "Beukes, Edward Andrew"
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- ItemOpen AccessContext sensitive road planning for developing countries(2011) Beukes, Edward Andrew; Vanderschuren, MarianneThe majority of South African urban poor live on the periphery of cities, travel long distances to work and school, and are dependent on public transport and walking or cycling (Non-Motorised Transport or NMT) for their travel needs. Road planning practice in South Africa continues to be largely automobile-centric. A need was identified to incorporate more contextual information into the transport planning process, to produce a more comprehensive, holistic and multimodal approach to practice. A description of the context, defined in terms of land use, socioeconomic, environmental and transport information, was developed and forms the basis of a method for making recommendations for road infrastructure provision. Data was incorporated using Spatial Multiple Criteria Assessment (SMCA), a Decision Support System and analysed in a GIS.
- ItemOpen AccessThe design of public transit networks with heuristic algorithms : case study Cape Town(2014) Nnene, Obiora A; Zuidgeest, Mark; Beukes, Edward AndrewThe 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.
- ItemOpen AccessAn evaluation of the benefits of intelligent speed adaptation for South Africa(2006) Beukes, Edward Andrew; Vanderschuren, MarianneThe aim of this report was to find, list and quantify all of the benefits that Intelligent Speed Adaptation (ISA) might hold for South Africa. An attempt was made to provide an initial estimate of the cost savings that ISA could offer the country if it is implemented in full.