Ridesharing systems are encouraging drivers in their fleets to adopt electric vehicles and may therefore be able to provide not only transportation services to passengers but also energy services to power grid operators through appropriate contracts. This paper develops a queuing network model of such ridesharing platforms where drivers may decide, at any given time, whether to provide transportation or grid services based on the incentives offered by the ridesharing platform. Then it considers designing driver incentives to maximize revenue for the ridesharing platform, via an analysis of the reward structure and an optimization algorithm. Platform revenue is assessed for various system parameters under optimal incentives.

Original languageEnglish (US)
Title of host publication2019 American Control Conference, ACC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538679265
StatePublished - Jul 2019
Event2019 American Control Conference, ACC 2019 - Philadelphia, United States
Duration: Jul 10 2019Jul 12 2019

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Conference2019 American Control Conference, ACC 2019
Country/TerritoryUnited States


  • Electric vehicles
  • Queuing networks
  • Revenue maximization
  • Sharing economy
  • Transportation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


Dive into the research topics of 'Ridesharing systems with electric vehicles'. Together they form a unique fingerprint.

Cite this