Agent-based multi-objective optimization model for allocating public charging stations for electric vehicles

Q. Han; B. Vries, de; Geert Kanters

Agent-based multi-objective optimization model for allocating public charging stations for electric vehicles

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

The development of electric mobility and electric vehicles (EVs) has increased significantly over the last couple of years. It is desirable to develop smart supporting infrastructures, such as public charging stations, in order to stimulate the use of EVs. However, a charging infrastructure is only useful when a certain level of EV usage is reached. In this paper, a location allocation model of public charging stations is developed. The focus is on publicly accessible charging station using cables and plugs for recharging, which considers full EVs and plug-in hybrid EVs. The municipality of Eindhoven, the Netherlands, is used as a case study to apply the model. A scenario for the year 2020 is created to determine the settings for the model.
Scenario analysis leads to recommendations on locations and quantities of public charging stations, which provides a show case of urban modeling approach to support the public facilities planning.

Original language	English
Title of host publication	Proceedings of CUPUM 14th, Planning Support Systems and Smart Cities, July 7-10, 2015, Cambridge, Massachusetts
Editors	J. Ferreira, R. Goodspeed
Number of pages	17
Publication status	Published - 2015

Cite this

@inproceedings{7ca8f2b8bcf74b57afce454f84034913,

title = "Agent-based multi-objective optimization model for allocating public charging stations for electric vehicles",

abstract = "The development of electric mobility and electric vehicles (EVs) has increased significantly over the last couple of years. It is desirable to develop smart supporting infrastructures, such as public charging stations, in order to stimulate the use of EVs. However, a charging infrastructure is only useful when a certain level of EV usage is reached. In this paper, a location allocation model of public charging stations is developed. The focus is on publicly accessible charging station using cables and plugs for recharging, which considers full EVs and plug-in hybrid EVs. The municipality of Eindhoven, the Netherlands, is used as a case study to apply the model. A scenario for the year 2020 is created to determine the settings for the model. Scenario analysis leads to recommendations on locations and quantities of public charging stations, which provides a show case of urban modeling approach to support the public facilities planning.",

author = "Q. Han and {Vries, de}, B. and Geert Kanters",

year = "2015",

language = "English",

isbn = "978-0-692-47434-1",

editor = "J. Ferreira and R. Goodspeed",

booktitle = "Proceedings of CUPUM 14th, Planning Support Systems and Smart Cities, July 7-10, 2015, Cambridge, Massachusetts",

}

Agent-based multi-objective optimization model for allocating public charging stations for electric vehicles. / Han, Q.; Vries, de, B.; Kanters, Geert.
Proceedings of CUPUM 14th, Planning Support Systems and Smart Cities, July 7-10, 2015, Cambridge, Massachusetts. ed. / J. Ferreira; R. Goodspeed. 2015. p225.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Agent-based multi-objective optimization model for allocating public charging stations for electric vehicles

AU - Han, Q.

AU - Vries, de, B.

AU - Kanters, Geert

PY - 2015

Y1 - 2015

N2 - The development of electric mobility and electric vehicles (EVs) has increased significantly over the last couple of years. It is desirable to develop smart supporting infrastructures, such as public charging stations, in order to stimulate the use of EVs. However, a charging infrastructure is only useful when a certain level of EV usage is reached. In this paper, a location allocation model of public charging stations is developed. The focus is on publicly accessible charging station using cables and plugs for recharging, which considers full EVs and plug-in hybrid EVs. The municipality of Eindhoven, the Netherlands, is used as a case study to apply the model. A scenario for the year 2020 is created to determine the settings for the model. Scenario analysis leads to recommendations on locations and quantities of public charging stations, which provides a show case of urban modeling approach to support the public facilities planning.

AB - The development of electric mobility and electric vehicles (EVs) has increased significantly over the last couple of years. It is desirable to develop smart supporting infrastructures, such as public charging stations, in order to stimulate the use of EVs. However, a charging infrastructure is only useful when a certain level of EV usage is reached. In this paper, a location allocation model of public charging stations is developed. The focus is on publicly accessible charging station using cables and plugs for recharging, which considers full EVs and plug-in hybrid EVs. The municipality of Eindhoven, the Netherlands, is used as a case study to apply the model. A scenario for the year 2020 is created to determine the settings for the model. Scenario analysis leads to recommendations on locations and quantities of public charging stations, which provides a show case of urban modeling approach to support the public facilities planning.

M3 - Conference contribution

SN - 978-0-692-47434-1

BT - Proceedings of CUPUM 14th, Planning Support Systems and Smart Cities, July 7-10, 2015, Cambridge, Massachusetts

A2 - Ferreira, J.

A2 - Goodspeed, R.

ER -

Agent-based multi-objective optimization model for allocating public charging stations for electric vehicles

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