Social-Aware ridesharing

Xiaoyi FU*

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

Ridesharing has been becoming increasingly popular in urban areas worldwide for its low cost and environmental friendliness. There has been much attention on the optimization of costs/detour in shared rides. However, other important factors, such as social comfort and trust issues, have not been fully explored in the existing work in ridesharing. In this paper, we introduce social-Awareness into ridesharing services and study two social-Aware ridesharing problem: The top-k Social-Aware Taxi Ridesharing (TkSaTR) problem and the Assignment of Requests to Offers (ARO) problem. Furthermore, this paper also presents the directions of future work in social-Aware ridesharing.

Original languageEnglish
Title of host publicationProceedings - 2019 20th International Conference on Mobile Data Management, MDM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages367-368
Number of pages2
ISBN (Electronic)9781728133638
DOIs
Publication statusPublished - Jun 2019
Event20th International Conference on Mobile Data Management, MDM 2019 - Hong Kong, Hong Kong
Duration: 10 Jun 201913 Jun 2019

Publication series

NameProceedings - IEEE International Conference on Mobile Data Management
Volume2019-June
ISSN (Print)1551-6245

Conference

Conference20th International Conference on Mobile Data Management, MDM 2019
Country/TerritoryHong Kong
CityHong Kong
Period10/06/1913/06/19

Scopus Subject Areas

  • Engineering(all)

User-Defined Keywords

  • LBS
  • ridesharing

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