Optimizing the electric charge station network of EŞARJ

Haris Gavranović; Alper Barut; Gürdal Ertek; Orkun Berk Yüzbaşioǧlu; Osman Pekpostalci; Önder Tombuş

doi:10.1016/j.procs.2014.05.240

Optimizing the electric charge station network of EŞARJ

Haris Gavranović, Alper Barut, Gürdal Ertek, Orkun Berk Yüzbaşioǧlu, Osman Pekpostalci, Önder Tombuş

Research output: Contribution to journal › Conference article › peer-review

24 Citations (Scopus)

Abstract

In this study, we adopt the classic capacitated p-median location model for the solution of a network design problem, in the domain of electric charge station network design, for a leading company in Turkey. Our model encompasses the location preferences of the company managers as preference scores incorporated into the objective function. Our model also incorporates the capacity concerns of the managers through constraints on maximum number of districts and maximum population that can be served from a location. The model optimally selects the new station locations and the visualization of model results provides additional insights.

Original language	English
Pages (from-to)	15-21
Number of pages	7
Journal	Procedia Computer Science
Volume	31
DOIs	https://doi.org/10.1016/j.procs.2014.05.240
Publication status	Published - 2014
Externally published	Yes
Event	2nd International Conference on Information Technology and Quantitative Management, ITQM 2014 - Moscow, Russian Federation Duration: Jun 3 2014 → Jun 5 2014

Keywords

Charge network
Electric charge station network
Electric vehicles
Facility location
Information visualization

ASJC Scopus subject areas

General Computer Science

Access to Document

10.1016/j.procs.2014.05.240

Cite this

@article{9e4364635b6345d39d6dae7dee3d2f73,

title = "Optimizing the electric charge station network of E{\c S}ARJ",

abstract = "In this study, we adopt the classic capacitated p-median location model for the solution of a network design problem, in the domain of electric charge station network design, for a leading company in Turkey. Our model encompasses the location preferences of the company managers as preference scores incorporated into the objective function. Our model also incorporates the capacity concerns of the managers through constraints on maximum number of districts and maximum population that can be served from a location. The model optimally selects the new station locations and the visualization of model results provides additional insights.",

keywords = "Charge network, Electric charge station network, Electric vehicles, Facility location, Information visualization",

author = "Haris Gavranovi{\'c} and Alper Barut and G{\"u}rdal Ertek and Y{\"u}zba{\c s}ioǧlu, {Orkun Berk} and Osman Pekpostalci and {\"O}nder Tombu{\c s}",

year = "2014",

doi = "10.1016/j.procs.2014.05.240",

language = "English",

volume = "31",

pages = "15--21",

journal = "Procedia Computer Science",

issn = "1877-0509",

publisher = "Elsevier B.V.",

note = "2nd International Conference on Information Technology and Quantitative Management, ITQM 2014 ; Conference date: 03-06-2014 Through 05-06-2014",

}

TY - JOUR

T1 - Optimizing the electric charge station network of EŞARJ

AU - Gavranović, Haris

AU - Barut, Alper

AU - Ertek, Gürdal

AU - Yüzbaşioǧlu, Orkun Berk

AU - Pekpostalci, Osman

AU - Tombuş, Önder

PY - 2014

Y1 - 2014

N2 - In this study, we adopt the classic capacitated p-median location model for the solution of a network design problem, in the domain of electric charge station network design, for a leading company in Turkey. Our model encompasses the location preferences of the company managers as preference scores incorporated into the objective function. Our model also incorporates the capacity concerns of the managers through constraints on maximum number of districts and maximum population that can be served from a location. The model optimally selects the new station locations and the visualization of model results provides additional insights.

AB - In this study, we adopt the classic capacitated p-median location model for the solution of a network design problem, in the domain of electric charge station network design, for a leading company in Turkey. Our model encompasses the location preferences of the company managers as preference scores incorporated into the objective function. Our model also incorporates the capacity concerns of the managers through constraints on maximum number of districts and maximum population that can be served from a location. The model optimally selects the new station locations and the visualization of model results provides additional insights.

KW - Charge network

KW - Electric charge station network

KW - Electric vehicles

KW - Facility location

KW - Information visualization

UR - http://www.scopus.com/inward/record.url?scp=84902244103&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84902244103&partnerID=8YFLogxK

U2 - 10.1016/j.procs.2014.05.240

DO - 10.1016/j.procs.2014.05.240

M3 - Conference article

AN - SCOPUS:84902244103

SN - 1877-0509

VL - 31

SP - 15

EP - 21

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 2nd International Conference on Information Technology and Quantitative Management, ITQM 2014

Y2 - 3 June 2014 through 5 June 2014

ER -

Optimizing the electric charge station network of EŞARJ

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this