A Predictive Model for the Passenger Demand on a Taxi Network

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

Authors

Luís Matias (Author) FEUP; João Gama (Author) FEP; Michel Ferreira (Author) FCUP; Luís Damas (Author) Other

Conference proceedings International

Title: 2012 15TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)

Pages: 1014-1019

15th International IEEE Conference on Intelligent Transportation Systems (ITSC)

Anchorage, AK, SEP 16-19, 2012

Indexing

ISI Web of Knowledge - 47 Citations

Scopus - 65 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: P-002-EHV

DOI: 10.1109/ITSC.2012.6338680

Abstract (EN): In the last decade, the real-time vehicle location systems attracted everyone attention for the new kind of rich spatio-temporal information. The fast processing of this large amount of information is a growing and explosive challenge. Taxi companies are already exploring such information in efficient taxi dispatching and time-saving route finding. In this paper, we propose a novel methodology to produce online short term predictions on the passenger demand spatial distribution over 63 taxi stands in the city of Porto, Portugal. We did so using time series forecasting techniques to the processed events constantly communicated for 441 taxi vehicles. Our tests - using 4 months of real data - demonstrated that this model is a true major contribution to the driver mobility intelligence: 76% of the 86411 demanded taxi services were accurately forecasted in a 30 minutes time horizon.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6