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Title Combinatorial Auction-Based Pricing for Multi-Tenant Autonomous Vehicle Public Transportation System
ID_Doc 41025
Authors Lam, AYS
Title Combinatorial Auction-Based Pricing for Multi-Tenant Autonomous Vehicle Public Transportation System
Year 2016
Published Ieee Transactions On Intelligent Transportation Systems, 17, 3
DOI 10.1109/TITS.2015.2490800
Abstract A smart city provides its people with high standard of living through advanced technologies, and transport is one of the major foci. With the advent of autonomous vehicles (AVs), an AV-based public transportation system has been proposed recently, which is capable of providing new forms of transportation services with high efficiency, high flexibility, and low cost. For the benefit of passengers, multi-tenancy can increase market competition leading to lower service charge and higher quality of service. In this paper, we study the pricing issue of themulti-tenant AV public transportation system and three types of services are defined. The pricing process for each service type is modeled as a combinatorial auction, in which the service providers, as bidders, compete for offering transportation services. The winners of the auction are determined through an integer linear program. To prevent the bidders from raising their bids for higher returns, we propose a strategy-proof Vickrey-Clarke-Groves-based charging mechanism, which can maximize the social welfare, to settle the final charges for the customers. We perform extensive simulations to verify the analytical results and evaluate the performance of the charging mechanism.
Author Keywords Autonomous vehicle; combinatorial auction; smart city; VCG mechanism
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000371982600022
WoS Category Engineering, Civil; Engineering, Electrical & Electronic; Transportation Science & Technology
Research Area Engineering; Transportation
PDF http://arxiv.org/pdf/1503.01425
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