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Dissertation (Ph.D.)--Auburn University, 2008. / Abstract. Includes bibliographic references (p.73-80).

Thèse de doctorat : Sciences : Mathématiques appliquées : Toulon : 2002. / Titre provenant du cadre-titre.

Thèse de doctorat : Mathématiques : Tours : 2008. / Titre provenant de l'écran-titre.

Thèse de doctorat : Mathématiques appliquées : Strasbourg : 2009. / Titre provenant de l'écran-titre. Bibliogr. 3 p.

Thesis (Ph. D.)--University of Washington, 2003. / Vita. Includes bibliographical references (p. 92-96).

Thesis (Ph. D.)--University of Oregon, 2002. / Typescript. Includes vita and abstract. Includes bibliographical references (leaves 87-99). Also available for download via the World Wide Web; free to University of Oregon users.

A general framework is presented for replacing static traffic assignment with dynamic traffic assignment within the standard four step transportation planning model. Issues including model consistency and the implementation of a proper feedback loop are explored. The new model is compared with the standard four step model in order to highlight the benefits of using dynamic traffic assignment rather than static. The model is then extended to include a term for the difference between experienced and free-flow travel times, which can be used as a proxy for travel time reliability and highlights the benefits of time-dependent DTA. Additionally, a study on improving the quality of convergence for dynamic traffic assignment is conducted in order to help facilitate the usefulness of this modeling approach in practice. A variety of equilibration techniques are tested, and analysis is performed to contrast these techniques with the method of successive averages. / text

M.Tech. Business Administration. Business School. / Telkom's revenue started to decline due to the high churn rate of fixed line customers. Telkom's deployment of the fixed mobile technology was intended to be a solution to the revenue decline. The development of unique products using Fixed Mobile Convergence remains a major challenge for Telkom. The study was undertaken as a case study with the intention of determining whether Telkom had the ability to converge the fixed line and mobile technologies respectively in order to boost its revenues by gaining competitive advantage. Primary data was collected through questionnaires that were completed by ten managers employed at Telkom SA within the fixed mobile division. Secondary data was collected from sources such as relevant literature, business and academic journals, books, the media, and the internet.

The viscoelastic and creep properties of salt create challenges in the design of salt mines. Salt undergoes steady state creep for a long period of time, and the time of failure is not easily predicted. Developing functions for creep behavior is important in predicting the deformation of salt pillars. Through literature reviews, it was found that there are many relationships to determine the deformation rate of salt specimens through constitutive models. Mine panels have also been modeled to understand the stress and deformational behavior of the pillars. The purpose of this was project was to develop a relationship that determines the convergence rate from knowing the pillar width to pillar height ratio and thickness of the salt strata immediately above and below the mine. The third power law was adopted in the modeling of salt pillars, which is applicable to low stresses of less than 10 MPa that is typical of salt mine conditions. The finite difference software, FLAC3D was used for the simulations of salt pillar models. A square pillar was modeled using four pillar width to pillar height ratios from 1.5 to 4.6. In mining practices, the pillar width to pillar height ratios are designed to be 1.0 to 5.0. Three sets of pillar dimensions were used for each pillar width to pillar height ratio, this was done to determine whether different room and pillar dimensions for each pillar width to pillar height ratio resulted in different convergence rates. Eight salt thicknesses of 0 m to 26 m were modeled for each set of pillar dimensions, which was sufficient to determine the effect of salt thickness on convergence rate. From the modeled results, general trends among the various pillar width to pillar height ratios were observed. The convergence rate increased as the pillar width to pillar height ratio decreased. In addition, an exponential relationship was found between the convergence rate and the pillar width to pillar height ratio. There was a strong correlation between convergence values calculated from the developed function and the modeled values for the power law exponent of three. The developed expression can be used to estimate the convergence rate due to pillar compression and room convergence.