DocumentCode :
3721507
Title :
The flow capturing location model and algorithm of electric vehicle charging stations
Author :
Wanting Lin; Guowei Hua
Author_Institution :
School of Economic and Management, Beijing Jiaotong University, 100044, China
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
6
Abstract :
As a necessary supporting infrastructure in development of electric vehicles, electric vehicle charging stations can provide electric vehicles charging service. Their locations are reasonable or not directly related to the development of the electric vehicle industry and their service quality, efficiency, convenience, etc. On the basis of flow capturing location model, this paper treats intercepting the largest demand as the goal and uses particle swarm optimization algorithm to simulate the model to prove its effectiveness and practicability. The simulation result shows that the model and algorithm used in this paper can establish an optimal selection of location, and be able to provide some decisions to the real facility location.
Keywords :
"Electric vehicles","Charging stations","Particle swarm optimization","Algorithm design and analysis","Industries","Optimization"
Publisher :
ieee
Conference_Titel :
Logistics, Informatics and Service Sciences (LISS), 2015 International Conference on
Type :
conf
DOI :
10.1109/LISS.2015.7369788
Filename :
7369788
Link To Document :
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