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Title: Modeling Context-Sensitive Dynamic Activity-Travel Behavior Under Conditions of Uncertainty Incorporating Reinforcement Learning, Habit Formation, and Behavioral and Cognitive Adaptation Strategies
Accession Number: 01099484
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: Activity-based analysis has slowly shifted gear from analysis of daily activity patterns to analysis and modeling of dynamic activity-travel patterns. This paper will describe and illustrate a dynamic model that is concerned with simulating habit formation and adaptation for a multi-agent system. It predicts habitual behavior versus exploitation and exploration as a function of discrepancies between dynamic, context-dependent aspiration levels and context-dependent expected utilities. Principles of cognitive learning, mental effort and memory traces are used in modeling different types of behavior under uncertainty. The paper will demonstrate model properties using numerical simulation with a case study of shopping activity.
Monograph Title: Monograph Accession #: 01084478
Report/Paper Numbers: 08-1768
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Han, QiArentze, Theo ATimmermans, Harry J PJanssens, DavyWets, GeertPagination: 18p
Publication Date: 2008
Conference:
Transportation Research Board 87th Annual Meeting
Location:
Washington DC, United States Media Type: DVD
Features: Figures; References
(30)
; Tables
(1)
TRT Terms: Uncontrolled Terms: Subject Areas: Highways; Planning and Forecasting; Public Transportation; Society; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2008 Paper #08-1768
Files: TRIS, TRB
Created Date: Jan 29 2008 4:07PM
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