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

Sweda, Timothy M.; Klabjan, Diego

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

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

File Language:

English

Details

Creators:

Sweda, Timothy M. ; Klabjan, Diego
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
Corporate Contributors:

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

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
Download URL:

https://rosap.ntl.bts.gov/view/dot/34150/dot_34150_DS1.pdf
File Type:

[PDF - 971.25 KB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:d015d955f0f633b810829a143a231c4be5afd7a38aff285cbab69b1f684950581fbe1239909cef5767e5900b14e19bbf758318c9eca68c8d057438afd01fa94b

File Language:

English

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