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.
ALBATROSS: Multiagent, Rule-Based Model of Activity Pattern Decisions
Transportation Research Record
Transportation Research Record: Journal of the Transportation Research Board ; 1706 , 1 ; 136-144
2000-01-01
Article (Journal)
Electronic Resource
English
ALBATROSS: Multiagent, Rule-Based Model of Activity Pattern Decisions
Online Contents | 2000
|Transportation Research Record | 2004
|Engineering Index Backfile | 1943
Engineering Index Backfile | 1943