A queueing model of dynamic pricing and dispatch control for ride-hailing systems incorporating travel times

Amir A. Alwan, Baris Ata and Yuwei Zhou ()
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Amir A. Alwan: The University of Chicago Booth School of Business
Baris Ata: The University of Chicago Booth School of Business
Yuwei Zhou: The University of Chicago Booth School of Business

Queueing Systems: Theory and Applications, 2024, vol. 106, issue 1, No 1, 66 pages

Abstract: Abstract A system manager makes dynamic pricing and dispatch control decisions in a queueing network model motivated by ride hailing applications. A novel feature of the model is that it incorporates travel times. Unfortunately, this renders the exact analysis of the problem intractable. Therefore, we study this problem in the heavy traffic regime. Under the assumptions of complete resource pooling and common travel time and routing distributions, we solve the problem in closed form by analyzing the corresponding Bellman equation. Using this solution, we propose a policy for the queueing system and illustrate its effectiveness in a simulation study.

Keywords: Ride-hailing; Dynamic pricing; Matching; Diffusion approximations; Heavy traffic analysis; Stochastic control; 90B15; 93E03; 93E20; 60J60; 60K30 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11134-023-09901-y

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