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AdvisorAbdella, Galal
AuthorAL-MUHANNADI, SAEED HAMAD M A
Available date2022-09-14T05:48:52Z
Publication Date2022-06
URIhttp://hdl.handle.net/10576/33969
AbstractSelecting good locations for the placement of Electric Vehicle (EV) public charging stations is important for the uptake of EVs. As EVs are considered to have lower green gas emissions to internal combustion engines, the uptake of EVs is considered better for the environment. Many factors are involved in the location-allocation problem for EV public charging stations, such as understanding demand, needs assessment, identifying possible locations, and selecting a facility location optimization model. This study provides a framework to improve demand identification and estimation accuracy and reliability by using traffic data and VISUM traffic simulation software. The case study of Doha is presented by applying three facility location optimization models. The set covering model results provide well-distributed stations, while the maximum coverage model locates stations in a concentrated area.
Languageen
SubjectELECTRIC VEHICLES CHARGING STATIONS
CITY TRAFFIC
Electric Vehicle (EV)
lower green gas emissions
VISUM traffic simulation software
TitleAN OPTIMIZATION FRAMEWORK FOR ELECTRIC VEHICLES CHARGING STATIONS ALLOCATION USING DEMAND BASED ON CITY TRAFFIC COUNT
TypeMaster Thesis
DepartmentEngineering Management
dc.accessType Open Access


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