Cognitive Maps for Route Choice Modeling

The objective of this project is to investigate the utility of cognitive maps in modeling route choice behavior. Cognitive map is the knowledge of spatial objectives and relations stored in human beings' long-term memory, which is the basis for spatial reasoning (e.g., where one is) and decision-making (e.g., where to conduct a given activity, and how to go from one place to another). It is a long-researched area in environmental psychology, geography and artificial intelligence, and has been shown to be incomplete, distorted, and idiosyncratic (depending on travel history and personal traits). The current travel behavior and traffic network modeling literature however almost unanimously assumes a cartographic map (complete and precise spatial knowledge) for individual travelers. It seems that this is not due to ignorance, but the lack of suitable mechanisms to operationalize cognitive maps in travel behavior modeling (Golledge and Garling, 2004). This research thus contributes to the state-of-the-art by (1) presenting a methodology to externalize cognitive maps and use them in an econometric route choice model, and (2) providing empirical evidence on the virtue of cognitive map in terms of providing more accurate route choice predictions under both normal and disrupted traffic conditions.

Language

  • English

Project

  • Status: Completed
  • Funding: $120314.00
  • Contract Numbers:

    DTRT12-G-UTC01

    UMAR24-20

  • Sponsor Organizations:

    Research and Innovative Technology Administration

    Department of Transportation
    1200 New Jersey Avneue, SE
    Washington, DC  United States  20590
  • Performing Organizations:

    New England University Transportation Center

    Massachusetts Institute of Technology
    77 Massachusetts Avenue, Room 40-279
    Cambridge, MA  United States  01239
  • Start Date: 20120101
  • Expected Completion Date: 0
  • Actual Completion Date: 20160131
  • Source Data: RiP Project 33379

Subject/Index Terms

Filing Info

  • Accession Number: 01489790
  • Record Type: Research project
  • Source Agency: New England University Transportation Center
  • Contract Numbers: DTRT12-G-UTC01, UMAR24-20
  • Files: UTC, RiP
  • Created Date: Aug 15 2013 1:01AM