ALBATROSS: Multiagent, Rule-Based Model of Activity Pattern Decisions

The development of ALBATROSS: A Learning-Based, Transportation-Oriented Simulation System is summarized. This activity-based model of activity-travel behavior is derived from theories of choice heuristics that consumers apply when making decisions in complex environments. The model, one of the most...

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Bibliographic Details
Published inTransportation research record Vol. 1706; no. 1; pp. 136 - 144
Main Authors Arentze, Theo, Hofman, Frank, van Mourik, Henk, Timmermans, Harry
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 2000
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Summary:The development of ALBATROSS: A Learning-Based, Transportation-Oriented Simulation System is summarized. This activity-based model of activity-travel behavior is derived from theories of choice heuristics that consumers apply when making decisions in complex environments. The model, one of the most comprehensive of its kind, predicts which activities are conducted when, where, for how long, and with whom, and the transport mode involved. In addition, various logical, temporal, spatial, spatial-temporal, and institutional constraints are incorporated in the model. The conceptual underpinnings of the model, its architecture, the functionality of its key agents, data collection, and model performance are discussed.
ISSN:0361-1981
2169-4052
DOI:10.3141/1706-16