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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/1512

Title: Integrating Bayesian networks and decision trees in a sequential rule-based transportation model
Authors: JANSSENS, Davy
WETS, Geert
BRIJS, Tom
VANHOOF, Koen
Arentze, T.
TIMMERMANS, Harry
Issue Date: 2006
Publisher: Elsevier
Citation: EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 175(1). p. 16-34
Abstract: Several activity-based transportation models are now becoming operational and are entering the stage of application for the modelling of travel demand. Some of these models use decision rules to support its decision-making instead of principles of utility maximization. Decision rules can be derived from different modelling approaches. In a previous study, it was shown that Bayesian networks outperform decision trees and that they are better suited to capture the complexity of the underlying decision-making. However, one of the disadvantages is that Bayesian networks are somewhat limited in terms of interpretation and efficiency when rules are derived from the network, while rules derived from decision trees in general have a simple and direct interpretation. Therefore, in this study, the idea of combining decision trees and Bayesian networks was explored in order to maintain the potential advantages of both techniques.....
URI: http://hdl.handle.net/1942/1512
DOI: 10.1016/j.ejor.2005.03.022
ISI #: 000240795200002
ISSN: 0377-2217
Category: A1
Type: Journal Contribution
Validation: ecoom, 2007
Appears in Collections: Research publications

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