An Agent-Based Information System for Electric Vehicle Charging Infrastructure Deployment

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.

• Record URL:
  http://www.ccitt.northwestern.edu/documents/CCITT_Final_Report_Y401.pdf
• 
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/25020
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/34150
• Supplemental Notes:
  • This research was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Northwestern University, Evanston

  Department of Industrial Engineering and Management Sciences
  Transportation Center, 1936 Sheridan Road
  Evanston, IL  United States  60208-4040

  Center for the Commercialization of Innovative Transportation Technology

  Northwestern University
  Evanston, IL  United States  60208

  Research and Innovative Technology Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Sweda, Timothy M
  • Klabjan, Diego
• Publication Date: 2012-8-18

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Appendices; Figures; References; Tables;
• Pagination: 20p

Subject/Index Terms

• TRT Terms: Automobile ownership; Electric power transmission facilities; Electric vehicle charging; Electric vehicles; Social factors
• Uncontrolled Terms: Agent based models; Driving patterns; Energy infrastructure
• Subject Areas: Energy; Highways; Vehicles and Equipment; I15: Environment; I90: Vehicles;

Filing Info

• Accession Number: 01449557
• Record Type: Publication
• Report/Paper Numbers: Project Y4-01
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: Oct 19 2012 3:52PM