Finding interesting contexts for explaining deviations in bus trip duration using distribution rules

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

Authors

Jorge, AM (Author) FCUP; Mendes Moreira, J (Author) FEUP; De Sousa, JF (Author) FEUP; Soares, C (Author) FEP; Azevedo, PJ (Author) Other

Conference proceedings International

Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Pages: 139-149

11th International Symposium on Intelligent Data Analysis, IDA 2012

Helsinki, 25 October 2012 through 27 October 2012

Indexing

ISI Web of Knowledge

Scopus - 3 Citations

Scientific classification

CORDIS: Physical sciences > Computer science > Cybernetics > Artificial intelligence

Other information

Authenticus ID: P-008-703

DOI: 10.1007/978-3-642-34156-4_14

Abstract (EN): In this paper we study the deviation of bus trip duration and its causes. Deviations are obtained by comparing scheduled times against actual trip duration and are either delays or early arrivals. We use distribution rules, a kind of association rules that may have continuous distributions on the consequent. Distribution rules allow the systematic identification of particular conditions, which we call contexts, under which the distribution of trip time deviations differs significantly from the overall deviation distribution. After identifying specific causes of delay the bus company operational managers can make adjustments to the timetables increasing punctuality without disrupting the service. © Springer-Verlag Berlin Heidelberg 2012.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11