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 language | English |
---|---|
Title of host publication | Proceedings - 2021 IEEE 37th International Conference on Data Engineering, ICDE 2021 |
Number of pages | 4 |
Publisher | IEEE |
Publication date | Apr 2021 |
Pages | 2657-2660 |
Article number | 9458616 |
ISBN (Print) | 978-1-7281-9185-0 |
ISBN (Electronic) | 978-1-7281-9184-3 |
DOIs | |
Publication status | Published - Apr 2021 |
Event | 37th IEEE International Conference on Data Engineering, ICDE 2021 - Virtual, Chania, Greece Duration: 19 Apr 2021 → 22 Apr 2021 |
Conference
Conference | 37th IEEE International Conference on Data Engineering, ICDE 2021 |
---|---|
Country/Territory | Greece |
City | Virtual, Chania |
Period | 19/04/2021 → 22/04/2021 |
Series | Proceedings - International Conference on Data Engineering |
---|---|
ISSN | 1084-4627 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.