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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2830

Title: Improving performance of multiagent rule-based model for activity pattern decisions with Bayesian networks
Authors: JANSSENS, Davy
WETS, Geert
BRIJS, Tom
VANHOOF, Koen
Arentze, Theo A.
TIMMERMANS, Harry
Issue Date: 2004
Publisher: TRANSPORTATION RESEARCH BOARD NATL RESEARCH COUNCIL
Citation: TRANSPORTATION RESEARCH RECORD, 1984. p. 75-83
Series/Report: TRANSPORTATION RESEARCH RECORD, 1894
Abstract: Several activity-based models are now becoming operational and are entering the stage of application in transport planning. Some of these models use a set of decision trees to support decision making instead of using principles of utility maximization. However, it is believed that the structure of decision trees can sometimes be very unstable and sensitive to highly correlated predictors. Therefore, this study examines whether decision trees constitute the best representational form to capture the behavioral mechanisms and principles that individuals and households use to organize their activities. Findings are reported from experiments conducted by means of Bayesian networks to gain a better understanding of the predictive performance of Albatross, a sequential rule-based model of activity-scheduling behavior. The performances of Bayesian networks and decision trees are compared and results are evaluated by means of detailed quantitative and qualitative analyses. The results showed that Bayesian networks outperformed the decision-tree-based approach for all decision agents of the Albatross model. Given this excellent performance, it is believed that the research community may potentially consider the use of Bayesian networks in developing activity-based transportation models.
Notes: Limburgs Univ Ctr, Transportat Res Inst, Fac Appl Econ Sci, B-3590 Diepenbeek, Belgium. Eindhoven Univ Technol, Urban Planning Grp, NL-5600 MB Eindhoven, Netherlands.Janssens, D, Limburgs Univ Ctr, Transportat Res Inst, Fac Appl Econ Sci, Univ Campus, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/2830
ISI #: 000228210500009
ISSN: 0361-1981
Category: A1
Type: Journal Contribution
Validation: ecoom, 2006
Appears in Collections: Research publications

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