TY - GEN
T1 - An agent-based decision support system for electric vehicle charging infrastructure deployment
AU - Sweda, Timothy
AU - Klabjan, Diego
PY - 2012
Y1 - 2012
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=84877606845&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84877606845&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84877606845
SN - 9781622764211
T3 - 26th Electric Vehicle Symposium 2012, EVS 2012
SP - 620
EP - 624
BT - 26th Electric Vehicle Symposium 2012, EVS 2012
T2 - 26th Electric Vehicle Symposium 2012, EVS 2012
Y2 - 6 May 2012 through 9 May 2012
ER -