Global ETD Search

11	Transport modelling in the Cape Town Metropolitan Area Munyakazi, 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 MEPLAN (Computer program) EMME/2 (Computer program) Transportation Mathematical models Urban transportation South Africa Cape Town - Planning Data processing Highway planning Cape Town - Data processing
12	Impacts of Driving Patterns on Well-to-wheel Performance of Plug-in Hybrid Electric Vehicles Raykin, 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. light duty vehicles plug-in hybrid electric vehicles life cycle assessment well-to-wheel energy petroleum greenhouse gas emissions electricity generation driving patterns driving conditions driving cycles travel demand modeling Transportation Tomorrow Survey Ontario Greater Toronto Area Emme CALMOB6 Autonomie GREET 0775
13	Impacts of Driving Patterns on Well-to-wheel Performance of Plug-in Hybrid Electric Vehicles Raykin, 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. light duty vehicles plug-in hybrid electric vehicles life cycle assessment well-to-wheel energy petroleum greenhouse gas emissions electricity generation driving patterns driving conditions driving cycles travel demand modeling Transportation Tomorrow Survey Ontario Greater Toronto Area Emme CALMOB6 Autonomie GREET 0775

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