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

Sweda, Timothy M.; Klabjan, Diego; Northwestern University (Evanston, Ill.) Dept. of Industrial Engineering and Management Sciences; Northwestern University (Evanston, Ill.). Center for the Commercialization of Innovative Transportation Technology

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

2012-08-18
By Sweda, Timothy M. ; Klabjan, Diego

[PDF-971.25 KB]

English

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Details:

Creators:

Sweda, Timothy M. ; Klabjan, Diego

Sweda, Timothy M. ; Klabjan, Diego Less -
Corporate Creators:

Northwestern University (Evanston, Ill.) Dept. of Industrial Engineering and Management Sciences ; Northwestern University (Evanston, Ill.). Center for the Commercialization of Innovative Transportation Technology

Northwestern University (Evanston, Ill.) Dept. of Industrial Engineering and Management Sciences ; Northwestern University (Evanston, Ill.). Center for the Commercialization of Innovative Transportation Technology Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program
Subject/TRT Terms:

[+]

Deployment Electric Utility Facilities Electric Vehicles Transportation, Hydraulic And Utility Facilities
Publication/ Report Number:

Project Y4-01
Resource Type:

Tech Report
Geographical Coverage:

Illinois
Edition:

Final report.
Corporate Publisher:

Northwestern University (Evanston, Ill.). Center for the Commercialization of Innovative Transportation Technology
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.
Format:

PDF
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:b5fbd38e6feae6e4821bae987549386547435fb8def7b990553c4933763597b2
Download URL:

https://rosap.ntl.bts.gov/view/dot/34150/dot_34150_DS1.pdf
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An Agent-Based Information System for Electric Vehicle Charging Infrastructure Deployment

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