Agent-based modeling of cognitive learning of dynamic activity-travel patterns

The overall goal of this study is to have a better understanding of how an individual’s spatial cognition and mental representation of urban networks develop over time and to explore the impacts of landmarks on spatial learning. In this paper, the main objective is to describe the key mechanisms of an agent-based model of cognitive learning and to present the results of the numerical simulations designed to test the face validity of the part of the model concerned with attribute learning.

• Record URL:
  https://doi.org/10.1179/1942787513Y.0000000003
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/19427867
• Authors:
  • Cenani, Sehnaz
  • Arentze, Theo A
  • Timmermans, Harry J
• Publication Date: 2013-10

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Maps; References; Tables;
• Pagination: pp 184-200
• Serial:
  • Transportation Letters: The International Journal of Transportation Research
  • Volume: 5
  • Issue Number: 4
  • Publisher: Taylor & Francis
  • ISSN: 1942-7867
  • EISSN: 1942-7875
  • Serial URL: http://www.tandfonline.com/toc/ytrl20/current

Subject/Index Terms

• TRT Terms: Activity choices; Choice models; Cognition; Learning; Networks; Simulation; Travel patterns
• Uncontrolled Terms: Spatial ability
• Subject Areas: Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01498936
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 29 2013 1:49PM