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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)
5 Downloads (Pure)

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 languageEnglish
Title of host publicationProceedings of CUPUM 14th, Planning Support Systems and Smart Cities, July 7-10, 2015, Cambridge, Massachusetts
EditorsJ. Ferreira, R. Goodspeed
Number of pages17
Publication statusPublished - 2015

Fingerprint

Dive into the research topics of 'Agent-based multi-objective optimization model for allocating public charging stations for electric vehicles'. Together they form a unique fingerprint.

Cite this