An agent-based decision support system for electric vehicle charging infrastructure deployment

Timothy Sweda*, Diego Klabjan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

100 Scopus citations

Abstract

The current scarcity of public charging infrastructure is one of the major barriers to mass household adoption of electric vehicles (EVs). Many drivers are reluctant to purchase EVs without convenient charging access away from home, but investors are also hesitant to build charging stations without underlying knowledge of EV demand realization. In this paper, an agent-based decision support system is presented for identifying patterns in residential EV ownership and driving activities to enable strategic deployment of new charging infrastructure. The Chicagoland area is used as a case study to demonstrate the model.

Original languageEnglish (US)
Title of host publication2011 IEEE Vehicle Power and Propulsion Conference, VPPC 2011
DOIs
StatePublished - Nov 7 2011
Event7th IEEE Vehicle Power and Propulsion Conference, VPPC 2011 - Chicago, IL, United States
Duration: Sep 6 2011Sep 9 2011

Publication series

Name2011 IEEE Vehicle Power and Propulsion Conference, VPPC 2011

Other

Other7th IEEE Vehicle Power and Propulsion Conference, VPPC 2011
CountryUnited States
CityChicago, IL
Period9/6/119/9/11

ASJC Scopus subject areas

  • Automotive Engineering

Fingerprint Dive into the research topics of 'An agent-based decision support system for electric vehicle charging infrastructure deployment'. Together they form a unique fingerprint.

  • Cite this

    Sweda, T., & Klabjan, D. (2011). An agent-based decision support system for electric vehicle charging infrastructure deployment. In 2011 IEEE Vehicle Power and Propulsion Conference, VPPC 2011 [6043201] (2011 IEEE Vehicle Power and Propulsion Conference, VPPC 2011). https://doi.org/10.1109/VPPC.2011.6043201