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Transport modelling in the Cape Town Metropolitan AreaMunyakazi, Justin Bazimaziki January 2005 (has links)
MSc (Mathematics and Applied Mathematics) / The use of MEPLAN by the Metropolitan Transport Planning Branch of the Cape Town City Council since 1984 was not successful due to apartheid anomalies. EMME/2 was then introduced in 1991 in replacement of MEPLAN. In this thesis we first introduce some aspects of transport modelling. Secondly we summarize the above-mentioned models before we undertake their comparative
study in a post-apartheid situation. A mathematical proof of why
MEPLAN was discarded is provided. The strengths and weaknesses of both MEPLAN and EMME/2 are recorded. / South Africa
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Impacts of Driving Patterns on Well-to-wheel Performance of Plug-in Hybrid Electric VehiclesRaykin, Leonid 27 November 2013 (has links)
The well-to-wheel (WTW) environmental performance of plug-in hybrid electric vehicles (PHEVs) is sensitive to driving patterns, which vary within and across regions. This thesis develops and applies a novel approach for estimating specific regional driving patterns. The approach employs a macroscopic traffic assignment model linked with a vehicle motion model to construct driving cycles, which is done for a wide range of driving patterns. For each driving cycle, the tank-to-wheel energy use of two PHEVs and comparable non-plug-in alternatives is estimated. These estimates are then employed within a WTW analysis to investigate implications of driving patterns on the energy use and greenhouse gas emission of PHEVs, and the WTW performance of PHEVs relative to non-plug-in alternatives for various electricity generation scenarios. The results of the WTW analysis demonstrate that driving patterns and the electricity generation supply interact to substantially impact the WTW performance of PHEVs.
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Impacts of Driving Patterns on Well-to-wheel Performance of Plug-in Hybrid Electric VehiclesRaykin, Leonid 27 November 2013 (has links)
The well-to-wheel (WTW) environmental performance of plug-in hybrid electric vehicles (PHEVs) is sensitive to driving patterns, which vary within and across regions. This thesis develops and applies a novel approach for estimating specific regional driving patterns. The approach employs a macroscopic traffic assignment model linked with a vehicle motion model to construct driving cycles, which is done for a wide range of driving patterns. For each driving cycle, the tank-to-wheel energy use of two PHEVs and comparable non-plug-in alternatives is estimated. These estimates are then employed within a WTW analysis to investigate implications of driving patterns on the energy use and greenhouse gas emission of PHEVs, and the WTW performance of PHEVs relative to non-plug-in alternatives for various electricity generation scenarios. The results of the WTW analysis demonstrate that driving patterns and the electricity generation supply interact to substantially impact the WTW performance of PHEVs.
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