Equitable Deployment of Wireless Charging Lanes in Transportation Networks

To alleviate greenhouse gas (GHG) emissions, electric vehicles (EVs) are introduced as a promising solution to reduce tailpipe emissions, providing a more sustainable transportation system. However, the primary unfavorable factor that may negatively impact EV market share is the limited driving range of EVs. Wireless charging lanes are one of the most convenient and promising charging solutions that can eliminate range anxiety if they become prevalent in a regional transportation network. Given the limited government budgets, the deployment of public charging infrastructure should address both efficiency and equity concerns. In this study, the research team develops a modeling framework for the equitable and efficient deployment of wireless charging lanes in general transportation networks. The team envisions that EVs are about to become common in the road network, and that governmental agencies are striving to apply an equitable and efficient deployment strategy to introduce wireless charging lanes into transportation systems. To efficiently and equitably deploy charging lanes, one must consider the charging and route choice behaviors of EV drivers who follow a selfish decision-making procedure, as well as proper deployment strategies that guarantee the fair distribution of all benefits of charging lanes.

Language

  • English

Project

  • Status: Active
  • Funding: $180000
  • Contract Numbers:

    69A3551747108

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Mountain-Plains Consortium

    North Dakota State University
    Fargo, ND  United States  58108
  • Project Managers:

    Tolliver, Denver

  • Performing Organizations:

    Civil & Environmental Engineering Department

    Utah State University
    Logan, UT  United States 
  • Principal Investigators:

    Song, Ziqi

  • Start Date: 20210824
  • Expected Completion Date: 20220731
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program
  • Source Data: MPC-659

Subject/Index Terms

Filing Info

  • Accession Number: 01781289
  • Record Type: Research project
  • Source Agency: Mountain-Plains Consortium
  • Contract Numbers: 69A3551747108
  • Files: UTC, RIP
  • Created Date: Sep 1 2021 5:09PM