Throughput and Pricing of Ridesharing Systems

We introduce a queueing model for passengers waiting to get transport by drivers participating in a ridesharing system. The effect of available drivers' mobility pattern, their willingness to accept rides in a given location, and the incentives offered by the platform, on system throughput is c...

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Bibliographic Details
Published inAnnual Joint Conference of the IEEE Computer and Communications Societies pp. 640 - 648
Main Authors Courcoubetis, Costas, Dimakis, Antonis
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2019
Subjects
crowdsourcing
Delays
Pricing
queueing model
ridesharing
stability
Stability criteria
Surges
Throughput
Vehicles
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Summary:We introduce a queueing model for passengers waiting to get transport by drivers participating in a ridesharing system. The effect of available drivers' mobility pattern, their willingness to accept rides in a given location, and the incentives offered by the platform, on system throughput is considered. We characterize the largest set of passenger arrival rates which can be served by a fixed number of drivers under any policy dictating the mobility pattern of available drivers. It turns out that any rate in this set can be achieved by offering appropriate constant but region-dependent rewards to drivers for passenger pick up. Moreover, it is shown that dynamic rewards which scale in proportion to the number of passengers waiting for pick up in each region, not only maximize throughput but also significantly decrease pick up delays.
ISSN:2641-9874
DOI:10.1109/INFOCOM.2019.8737561