A Dynamic GIS Model for Optimum Location Identification of Plug-in Electric Vehicle (PEV) Charging Stations
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University of Akron / OhioLINK
2013
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=akron1384806074 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-akron13848060742021-08-03T06:20:37Z A Dynamic GIS Model for Optimum Location Identification of Plug-in Electric Vehicle (PEV) Charging Stations Kandukuri, Yudhveer Civil Engineering Geographic Information Science Transportation Driving a convention gasoline vehicle is a major polluting factor that degrades the environment. In order to reduce our dependency on gasoline and its related environmental effects, the plug-in electric vehicles are emerging as an alternative solution to the conventional gasoline vehicles. As these vehicles recently entered the consumer market, a clear emphasis will be placed on how well the supporting infrastructure like charging stations is located in order to reduce the range anxiety and also the time these vehicles will take to charge the battery. This will establish the fundamental infrastructure which is critical for future market growth of such vehicles. The aim of this study is not only to determine the number of different type of charging stations in different locations within a given budget amount, but also how suitably those locations can be chosen in order to satisfy the demand, so that the owners of these vehicles will always feel comfortable and convenient in using those locations in terms of accessibility, time availability, neighborhood security and power grid capacity.In this thesis, we proposed a budget constraint model and geometric reasoning method to help resolve the problem of locating charging stations in ideal locations. By means of integrated modeling and mathematical optimization on a GIS platform, the results indicated that the proposed model is capable of selecting proper locations, for deploying the electric vehicle charging stations, which satisfies not only the electric vehicle charging demand within a given accessibility distance, but also the locations where it will be opened for long hours, having good neighborhood security and enough power grid capacity. 2013 English text University of Akron / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=akron1384806074 http://rave.ohiolink.edu/etdc/view?acc_num=akron1384806074 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
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NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Civil Engineering Geographic Information Science Transportation |
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Civil Engineering Geographic Information Science Transportation Kandukuri, Yudhveer A Dynamic GIS Model for Optimum Location Identification of Plug-in Electric Vehicle (PEV) Charging Stations |
| author |
Kandukuri, Yudhveer |
| author_facet |
Kandukuri, Yudhveer |
| author_sort |
Kandukuri, Yudhveer |
| title |
A Dynamic GIS Model for Optimum Location Identification of Plug-in Electric Vehicle (PEV) Charging Stations |
| title_short |
A Dynamic GIS Model for Optimum Location Identification of Plug-in Electric Vehicle (PEV) Charging Stations |
| title_full |
A Dynamic GIS Model for Optimum Location Identification of Plug-in Electric Vehicle (PEV) Charging Stations |
| title_fullStr |
A Dynamic GIS Model for Optimum Location Identification of Plug-in Electric Vehicle (PEV) Charging Stations |
| title_full_unstemmed |
A Dynamic GIS Model for Optimum Location Identification of Plug-in Electric Vehicle (PEV) Charging Stations |
| title_sort |
dynamic gis model for optimum location identification of plug-in electric vehicle (pev) charging stations |
| publisher |
University of Akron / OhioLINK |
| publishDate |
2013 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=akron1384806074 |
| work_keys_str_mv |
AT kandukuriyudhveer adynamicgismodelforoptimumlocationidentificationofpluginelectricvehiclepevchargingstations AT kandukuriyudhveer dynamicgismodelforoptimumlocationidentificationofpluginelectricvehiclepevchargingstations |
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