A stochastic flow capturing location and allocation model for siting electric vehicle charging stations

Jingzi Tan, Wei Hua Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

With the move of electric vehicle (EV) initiatives in many countries, there is a growing demand for fast-charging stations for recharging EVs. In this paper, we consider the problem of siting these EV charging stations in a transportation network with demand uncertainty. The demand for service considered is the passing flows in the network, i.e., the drive-by customers. We started with formulating the problem as a deterministic flow capturing location-allocation problem and then extended it into a stochastic model. Our results show that the stochastic model more realistically capture the actual coverage of the demand. We also developed a backup flow capturing model for providing secondary or multiple facilities coverage to ensure stability in service coverage and reduce the 'range anxiety.' Test cases with different flow composition and cost parameters are examined.

Original languageEnglish (US)
Title of host publication2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2811-2816
Number of pages6
ISBN (Print)9781479960781
DOIs
StatePublished - Nov 14 2014
Event2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, China
Duration: Oct 8 2014Oct 11 2014

Other

Other2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
CountryChina
CityQingdao
Period10/8/1410/11/14

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Mechanical Engineering

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  • Cite this

    Tan, J., & Lin, W. H. (2014). A stochastic flow capturing location and allocation model for siting electric vehicle charging stations. In 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 (pp. 2811-2816). [6958140] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2014.6958140