Agent-Based Information System for Electric Vehicle Charging Infrastructure Deployment
Publication: Journal of Infrastructure Systems
Volume 21, Issue 2
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.
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Acknowledgments
This work was funded by the Center for the Commercialization of Innovative Transportation Technology at Northwestern University, a University Transportation Center Program of the Research and Innovative Technology Administration of USDOT through support from the Safe, Accountable, Flexible, Efficient Transportation Equity Act (SAFETEA-LU).
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Information & Authors
Information
Published In
Journal of Infrastructure Systems
Volume 21 • Issue 2 • June 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Nov 20, 2013
Accepted: Jul 11, 2014
Published online: Aug 20, 2014
Discussion open until: Jan 20, 2015
Published in print: Jun 1, 2015
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