Deriving Decision Rules from Activity Dairies

T.A. Arentze, F. Hofman, H.J.P. Timmermans

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic


This paper presents a system for deriving scheduling decision rules from activity diary data. The proposed system represents constraints as well as preferences in determining the sequence of a given set of activities. Rules are organised in a hierarchy and a systematic search procedure is used to optimise the rule hierarchy. A string alignment technique is used to measure the goodness-of-fit of the model in terms of an aggregate distance between observed and predicted schedules. The proposed system is tested based on a large-scale activity diary data set. The results suggest that the optimised rule-set achieves a considerable reduction of aggregate distance. This rule-based approach is suggested as an alternative to existing simultaneous choice models. Potentially, the system is more flexible in adapting schedules to physical or institutional changes in the environment.
Original languageEnglish
Title of host publicationWorld transport research : proceedings of 8th World Conference on Transport Research, [Antwerp, July 1998] ; Vol. 3: Transport modelling/assessment
EditorsH. Meersman, E. Voorde, v.d.
Place of PublicationOxford
ISBN (Print)0-08-043590-4
Publication statusPublished - 1999
Event8th World Conference on Transport Research (WCTR 1998), July 12-16, 1998, Antwerp, Belgium - Antwerp, Belgium
Duration: 12 Jul 199816 Jul 1998


Conference8th World Conference on Transport Research (WCTR 1998), July 12-16, 1998, Antwerp, Belgium
Abbreviated titleWCTR 8


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