Location Optimization of Charging Stations for Electric Fleet Trucks Based on Given Tour Patterns

Electric delivery trucks are becoming increasingly feasible as an environmentally friendly alternative for goods deliveries in urban areas. However, the limited cruising distance prevents electric trucks from being widely used and generate a need to install enough charging stations throughout the cities. Furthermore en-route charging means that logistics agencies have to afford extra operation costs, as they may need to adjust the delivery plan to the charging stations. In this study therefore a 2-step approach is developed to optimize the location of charging stations for electric trucks based on actual observed tour patterns. The goals is to figure out the optimal location and number of charging stations as well as to avoid changes in the delivery patterns. The first step is to generate and assign typical tours based on given tour patterns. To generate realistic tours the characteristics of the delivery tour patterns in Kyoto City are analysed. Indices such as tour numbers per truck and day as well as average tour distance are considered to indicate the characteristics of given tour patterns. The second step is then to optimize the charging stations for these assigned tours. Finally, the approach is tested on a grid network under various parameter settings to investigate the location plan under different tour patterns.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AT025 Standing Committee on Urban Freight Transportation.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Nakamura, Toshiyuki
    • Schmoecker, Jan-Dirk
    • Fujii, Atsushi
    • Sun, Wenzhe
    • Uno, Nobuhiro
  • Conference:
  • Date: 2017

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 16p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01630255
  • Record Type: Publication
  • Report/Paper Numbers: 17-05711
  • Files: PRP, TRIS, TRB, ATRI
  • Created Date: Mar 27 2017 9:34AM