TY - GEN
T1 - An agent-based decision support system for electric vehicle charging infrastructure deployment
AU - Sweda, Timothy
AU - Klabjan, Diego
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=80155138337&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80155138337&partnerID=8YFLogxK
U2 - 10.1109/VPPC.2011.6043201
DO - 10.1109/VPPC.2011.6043201
M3 - Conference contribution
AN - SCOPUS:80155138337
SN - 9781612842486
T3 - 2011 IEEE Vehicle Power and Propulsion Conference, VPPC 2011
BT - 2011 IEEE Vehicle Power and Propulsion Conference, VPPC 2011
T2 - 7th IEEE Vehicle Power and Propulsion Conference, VPPC 2011
Y2 - 6 September 2011 through 9 September 2011
ER -