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


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 publication26th Electric Vehicle Symposium 2012
Number of pages5
StatePublished - Dec 1 2012
Event26th Electric Vehicle Symposium 2012 - Los Angeles, CA, United States
Duration: May 6 2012May 9 2012

Publication series

Name26th Electric Vehicle Symposium 2012


Other26th Electric Vehicle Symposium 2012
Country/TerritoryUnited States
CityLos Angeles, CA

ASJC Scopus subject areas

  • Automotive Engineering
  • Electrical and Electronic Engineering


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