FDA-VeD: a future-demand-aware vehicle dispatching service

Yang Guo, Weiliang Zhao, Jian Yang*, Zizhu Zhang, Jia Wu, Tarique Anwar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, we develop a Future-Demand-Aware Vehicle Dispatching Service (FDA-VeD) by considering the relocation of idle vehicles based on the predicted future demands in order to achieve high passenger serving ratio. We evaluate the performance of our system on New York taxi dataset. We demonstrate that our approach achieves a significantly higher serving ratio with a low operating cost increase in comparison with existing methods.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020
Place of PublicationLos Alamitos, Ca
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages345-352
Number of pages8
ISBN (Electronic)9781728187891
DOIs
Publication statusPublished - 2020
Event13th IEEE International Conference on Services Computing, SCC 2020 - Virtual, Beijing, China
Duration: 18 Oct 202024 Oct 2020

Publication series

NameProceedings of the IEEE International Conference on Services Computing SCC
PublisherIEEE COMPUTER SOC
ISSN (Print)2474-8137

Conference

Conference13th IEEE International Conference on Services Computing, SCC 2020
CountryChina
CityVirtual, Beijing
Period18/10/2024/10/20

Keywords

  • Future demand prediction
  • Idle Vehicle Relocation
  • On-demand Mobility Service
  • Passenger serving ratio
  • Vehicle Dispatching

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