E-mobility Fleet Management Using Ant Algorithms

This paper identifies the crucial tasks of e-mobility fleet management which is understood to be the operation of a fleet of vehicles powered by electricity. It is shown that the essentials can be mapped to a quadratic assignment problem. This makes the use of well-known ant algorithms available in order to solve the e-mobility fleet management problem even in the dynamic case. A simulator using efficient concurrency management was built in order to validate the results.

• Record URL:
  https://doi.org/10.1016/j.sbspro.2012.09.821
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1877042812042838
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770428
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Doppers, Felix-Alexander
  • Iwanowski, Sebastian
• Conference:
  • 15th Meeting of the EURO Working Group on Transportation
  • Location: Paris , France
  • Date: 2012-9-10 to 2012-9-13
• Publication Date: 2012-10-4

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 1058-1067
• Serial:
  • Procedia - Social and Behavioral Sciences
  • Volume: 54
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0428
  • Serial URL: http://www.sciencedirect.com/science/journal/18770428/53
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Algorithms; Dynamic traffic assignment; Electric vehicles; Fleet management; Simulation
• Subject Areas: Administration and Management; Freight Transportation; Highways; I10: Economics and Administration;

Filing Info

• Accession Number: 01491304
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 3 2013 1:36PM