@inproceedings{c0a02144a81147f8b55ae46336a5d82d,
title = "Ridesharing systems with electric vehicles",
abstract = "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.",
keywords = "Electric vehicles, Queuing networks, Revenue maximization, Sharing economy, Transportation",
author = "Theodoros Mamalis and Subhonmesh Bose and Varshney, {Lav R.}",
note = "Publisher Copyright: {\textcopyright} 2019 American Automatic Control Council.; 2019 American Control Conference, ACC 2019 ; Conference date: 10-07-2019 Through 12-07-2019",
year = "2019",
month = jul,
doi = "10.23919/acc.2019.8815109",
language = "English (US)",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3329--3334",
booktitle = "2019 American Control Conference, ACC 2019",
address = "United States",
}