An Online Recommendation System for the Taxi Stand choice Problem

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

Luís Moreira-Matias (Author) Other; Ricardo Fernandes (Author) Other; João Gama (Author) FEP; Michel Ferreira (Author) FCUP; João Mendes-Moreira (Author) FEUP; Luís Damas (Author) Other

Conference proceedings International

Title: 2012 IEEE VEHICULAR NETWORKING CONFERENCE (VNC)

Pages: 173-180

IEEE Vehicular Networking Conference (VNC)

Seoul, SOUTH KOREA, NOV 14-16, 2012

Indexing

ISI Web of Knowledge - 10 Citations

Scopus - 11 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-002-E0J

DOI: 10.1109/vnc.2012.6407427

Abstract (EN): Nowadays, Informed Driving is crucial to the transportation industry. We present an online recommendation model to help the driver to decide about the best stand to head in each moment, minimizing the waiting time. Our approach uses time series forecasting techniques to predict the spatiotemporal distribution in real-time. Then, we combine this information with the live current network status to produce our output. Our online test-beds were carried out using data obtained from a fleet of 441 vehicles running in the city of Porto, Portugal. We demonstrate that our approach can be a major contribution to this industry: 395.361/506.873 of the services dispatched were correctly predicted. Our tests also highlighted that a fleet equipped with such framework surpassed a fleet that is not: they experienced an average waiting time to pick-up a passenger 5% lower than its competitor.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8