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*

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

6 Citationer (Scopus)
106 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.

OriginalsprogEngelsk
TitelProceedings - 2021 IEEE 37th International Conference on Data Engineering, ICDE 2021
Antal sider4
ForlagIEEE
Publikationsdatoapr. 2021
Sider2657-2660
Artikelnummer9458616
ISBN (Trykt)978-1-7281-9185-0
ISBN (Elektronisk)978-1-7281-9184-3
DOI
StatusUdgivet - apr. 2021
Begivenhed37th IEEE International Conference on Data Engineering, ICDE 2021 - Virtual, Chania, Grækenland
Varighed: 19 apr. 202122 apr. 2021

Konference

Konference37th IEEE International Conference on Data Engineering, ICDE 2021
Land/OmrådeGrækenland
ByVirtual, Chania
Periode19/04/202122/04/2021
NavnProceedings - International Conference on Data Engineering
ISSN1084-4627

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