SOUP: A fleet management system for passenger demand prediction and competitive taxi supply

Qi Hu, Lingfeng Ming, Ruijie Xi, Lu Chen, Christian S. Jensen, Bolong Zheng*

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

5 Citations (Scopus)
90 Downloads (Pure)

Abstract

Online car-hailing services have gained substantial popularity. An effective taxi fleet management strategy should not only increase taxi utilization by reducing taxi idle time, but should also improve passenger satisfaction by minimizing passenger waiting time. We demonstrate a fleet management system called SOUP that aims at minimizing taxi idle time and that monitors the fleet movement status. SOUP includes a passenger request prediction model called ST-GCSL that predicts the number of requests in the near future, and it includes a demand-aware route planning algorithm called DROP that provides idle taxis with search routes to serve potential requests. In addition, SOUP supports visualizing and analyzing historical passenger requests, simulating fleet movement, and computing evaluation metrics. We demonstrate how SOUP accurately predicts passenger demand and significantly reduces taxi idle time.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE 37th International Conference on Data Engineering, ICDE 2021
Number of pages4
PublisherIEEE
Publication dateApr 2021
Pages2657-2660
Article number9458616
ISBN (Print)978-1-7281-9185-0
ISBN (Electronic)978-1-7281-9184-3
DOIs
Publication statusPublished - Apr 2021
Event37th IEEE International Conference on Data Engineering, ICDE 2021 - Virtual, Chania, Greece
Duration: 19 Apr 202122 Apr 2021

Conference

Conference37th IEEE International Conference on Data Engineering, ICDE 2021
Country/TerritoryGreece
CityVirtual, Chania
Period19/04/202122/04/2021
SeriesProceedings - International Conference on Data Engineering
ISSN1084-4627

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

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