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Assignment and pricing of shared rides in ride-sourcing using combinatorial double auctions

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Title: Assignment and pricing of shared rides in ride-sourcing using combinatorial double auctions
Authors: Karamanis, R
Anastasiadis, E
Angeloudis, P
Stettler, M
Item Type: Journal Article
Abstract: Transportation Network Companies employ dynamic pricing methods at periods of peak travel to incentivise driver participation and balance supply and demand for rides. Surge pricing multipliers are commonly used and are applied following demand and estimates of customer and driver trip valuations. Combinatorial double auctions have been identified as a suitable alternative, as they can achieve maximum social welfare in the allocation by relying on customers and drivers stating their valuations. A shortcoming of current models, however, is that they fail to account for the effects of trip detours that take place in shared trips and their impact on the accuracy of pricing estimates. To resolve this, we formulate a new shared-ride assignment and pricing algorithm using combinatorial double auctions. We demonstrate that this model is reduced to a maximum weighted independent set model, which is known to be APX-hard. A fast local search heuristic is also presented, which is capable of producing results that lie within 10% of the exact approach for practical implementations. Our proposed algorithm could be used as a fast and reliable assignment and pricing mechanism of ride-sharing requests to vehicles during peak travel times.
Issue Date: 29-Apr-2020
Date of Acceptance: 9-Apr-2020
URI: http://hdl.handle.net/10044/1/73522
DOI: 10.1109/TITS.2020.2988356
ISSN: 1524-9050
Publisher: IEEE
Journal / Book Title: IEEE Transactions on Intelligent Transportation Systems
Copyright Statement: © 2019 The Author(s)
Keywords: Transportation Network Companies
Ride-Sourcing
Ride-Sharing
Combinatorial Double Auctions
cs.CC
cs.CC
cs.DS
cs.GT
0801 Artificial Intelligence and Image Processing
0905 Civil Engineering
1507 Transportation and Freight Services
Logistics & Transportation
Notes: 12 pages, Ride-Sharing, Combinatorial Double Auctions, Assignment, Dynamic Pricing
Publication Status: Published
Online Publication Date: 2020-04-29
Appears in Collections:Faculty of Engineering
Civil and Environmental Engineering
Grantham Institute for Climate Change