Hydrogen Refueling Station Location Problem with Traffic Deviation Considering Route Choice and Demand Uncertainty

Construction of refueling stations in a traffic network is a major step toward the promotion of hydrogen fuel vehicles in the metropolitan areas. This study provides two modeling approaches with factoring the refueling demand uncertainty and the effect of travelers’ deviation to refuel in the network. First, because of the refueling demand uncertainty of the hydrogen fuel vehicles market, the authors propose a discrete and robust optimization model, in which refueling demand is modelled with an uncertainty set during planning horizon. A cutting plane algorithm is then adopted to solve this robust centralized planning model. Numerical results demonstrate that the robust model can lead to more reliable design in comparison to the nominal plan under different potential refueling demand scenarios over the planning horizon. Second, a link-based bi-level optimization model is proposed to capture the joint effects of travelers’ route and refueling station location choices on travel times in traffic network. While the central planner determines the optimal location of hydrogen refueling station in the upper level problem, the lower level problem describes the user equilibrium traffic condition characterized by the locations of refueling stations. Numerical examples indicate that the refueling station location pattern can change completely with the consideration of route choice of users.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting. Alternate title: Refueling Station Location Problem with Traffic Deviation Considering Route Choice and Demand Uncertainty
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Miralinaghi, Mohammad
    • Lou, Yingyan
    • Keskin, Burcu B
    • Hsu, Yu-Ting
    • Shabanpour, Ramin
  • Conference:
  • Date: 2017

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 15p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01625862
  • Record Type: Publication
  • Report/Paper Numbers: 17-01745
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 13 2017 2:41PM