An ensemble regression approach for bus trip time prediction

• Type: Article in International Conference Proceedings Book
• Date: 2006

Authors

João M. Moreira (Author) FEUP; Jorge Freire de Sousa (Author) FEUP; Alípio M. Jorge (Author) FEP; Carlos Soares (Author) FEP

Conference proceedings International

Title: Proceedings of the EWGT2006 joint conferences

Pages: 317-321

The 11th meeting of the EURO working group on transportation

Bari, Italy, 27 a 29 de Setembro de 2006

Scientific classification

FOS: Natural sciences > Computer and information sciences

CORDIS: Physical sciences > Computer science > Cybernetics > Artificial intelligence ; Technological sciences > Engineering

Other information

Abstract (EN): This paper is about bus trip time prediction in mass transit companies. We describe the motivations to accomplish this task and how it can support operational management on such companies. Then, we describe a Data Mining framework that recommends the expected best regression algorithm(s), from an ensemble, to predict the duration of a given trip. We present results that show the advantage of using an ensemble regression approach.

Language: Portuguese

Type (Professor's evaluation): Scientific