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Ride-Sharing Matching between Multiple Passengers Using Hypergraphs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study deals with ride-sharing systems, which are expected to alleviate traffic congestion and reduce carbon dioxide emissions. Although ride-sharing systems have been defined variously in the literature, this study assumes that individual passengers share a vehicle for transportation and split the cost of transportation, such as gasoline, tolls, and parking fees, with other passengers who have similar transportation needs. In this study, the combination of multiple passengers is determined by matching using hypergraph. Then, the amount paid by passengers is determined as the Nash bargaining solution to design a price that takes into account passengers' preferences regarding time and fare. Through simulation verification, it is confirmed that the combination of multiple passengers reduces carbon dioxide emissions and drivers, and that the design of the payment amount using the Nash bargaining solution guarantees the gain for the passengers.

Original languageEnglish
Title of host publication2025 SICE Festival with Annual Conference, SICE FES 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1669-1674
Number of pages6
ISBN (Electronic)9784907764869
DOIs
Publication statusPublished - 2025
Event2025 SICE Festival with Annual Conference, SICE FES 2025 - Chiang Mai, Thailand
Duration: 2025 Sept 92025 Sept 12

Publication series

Name2025 SICE Festival with Annual Conference, SICE FES 2025

Conference

Conference2025 SICE Festival with Annual Conference, SICE FES 2025
Country/TerritoryThailand
CityChiang Mai
Period25/9/925/9/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Game Theory
  • Graph Theory
  • Ride Sharing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Control and Optimization
  • Instrumentation

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