Efficient Optimal Pick-up and Drop-off Point Recommendation for Ride-hailing Services

Detian Zhang, Lun Jin, Chunjiang Zhu, Qing Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

In ride-hailing services, drivers need to deliver passengers from sources to destinations over road networks. Since road network topologies for pedestrians are usually different from those for vehicles, and most of traffics only affect vehicles instead of pedestrians, adopting suitable pick-up and drop-off points can avoid detours and heavy traffics, and then reduce the trip travel time for passengers and drivers. However, to the best of our knowledge, there is no existing work about optimal pick-up and drop-off point recommendation in ride-hailing services. In this paper, we initiate the study of this problem. We not only give an exhaustive search algorithm but also devise a much more efficient method based on a delicate virtual graph to find the optimal pick-up and drop-off points for drivers and their passengers. Extensive experiments on two real datasets verify the efficiency and effectiveness of our proposed algorithms.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE International Conference on Web Services, ICWS 2023
EditorsClaudio Ardagna, Boualem Benatallah, Hongyi Bian, Carl K. Chang, Rong N. Chang, Jing Fan, Geoffrey C. Fox, Zhi Jin, Xuanzhe Liu, Heiko Ludwig, Michael Sheng, Jian Yang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages124-130
Number of pages7
ISBN (Electronic)9798350304855
DOIs
Publication statusPublished - Jul 2023
Event2023 IEEE International Conference on Web Services, ICWS 2023 - Hybrid, Chicago, United States
Duration: 2 Jul 20238 Jul 2023

Publication series

NameProceedings - 2023 IEEE International Conference on Web Services, ICWS 2023

Conference

Conference2023 IEEE International Conference on Web Services, ICWS 2023
Country/TerritoryUnited States
CityHybrid, Chicago
Period2/07/238/07/23

Keywords

  • Drop-off Points
  • Graph
  • Pick-up Points
  • Ride-hailing Services
  • Road Networks

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management

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