Albatross : multi-agent rule based model of activity pattern decisions

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

Research output: Contribution to journalArticleAcademicpeer-review

67 Citations (Scopus)
5 Downloads (Pure)

Abstract

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.
Original languageEnglish
Pages (from-to)136-144
JournalTransportation Research Record
Volume1706
DOIs
Publication statusPublished - 2000

Fingerprint

Dive into the research topics of 'Albatross : multi-agent rule based model of activity pattern decisions'. Together they form a unique fingerprint.

Cite this