Optimal Queueing-Based Rebalancing for One-Way Electric Carsharing Systems with Stochastic Demand

Viability of electric vehicle car sharing operations depends on rebalancing algorithms. Earlier methods in the literature suggest a trend toward Markovian stochastic demand with server relocation with queueing constraints. The authors propose a new model formulation based on a node-charge graph structure that extends the relocation model to include transshipment relocation flows. Computational tests with up to 1000 node (and 4000 node-charges) suggest promising avenues for further study.

• Supplemental Notes:
  • This paper was sponsored by TRB committee AP020 Standing Committee on Emerging and Innovative Public Transport and Technologies.
• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Ma, Tai-Yu
  • Pantelidis, Theodoros
  • Chow, Joseph Y J
• Conference:
  • Transportation Research Board 98th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2019-1-13 to 2019-1-17
• Date: 2019

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References; Tables;
• Pagination: 17p

Subject/Index Terms

• TRT Terms: Electric vehicles; Resource allocation; Stochastic processes; Travel demand management; Vehicle sharing
• Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01698005
• Record Type: Publication
• Report/Paper Numbers: 19-05278
• Files: TRIS, TRB, ATRI
• Created Date: Mar 1 2019 3:51PM