Agent-based information system for electric vehicle charging infrastructure deployment

Timothy M. Sweda, Diego Klabjan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

The current scarcity of public charging infrastructure is one of the major barriers to mass household adoption of plug-in electric vehicles (PEVs). Although most PEV drivers can recharge their vehicles at home, the limited driving range of the vehicles restricts their usefulness for long-distance travel. In this paper, an agent-based information system is presented for identifying patterns in residential PEV ownership and driving activities to enable strategic deployment of new charging infrastructure. Driver agents consider their own driving activities within the simulated environment, in addition to the presence of charging stations and the vehicle ownership of others in their social network, when purchasing a new vehicle. Aside from conventional vehicles, drivers may select among multiple electric alternatives, including two PEV options. The Chicagoland area is used as a case study to demonstrate the model, and several different deployment scenarios are analyzed.

Original languageEnglish (US)
Article number04014043
JournalJournal of Infrastructure Systems
Volume21
Issue number2
DOIs
StatePublished - Jun 1 2015

Keywords

  • Agent-based model
  • Charging stations
  • Demand modeling
  • Electric vehicles

ASJC Scopus subject areas

  • Civil and Structural Engineering

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