Exploration of Driver Route Choice with Advanced Traveler Information Using Neural Network Concepts

A model of drivers' route choice behavior under advanced traveler information systems (ATIS) is developed based on data collected from learning experiments using interactive computer simulation. A neural network model is used as a convenient modeling technique in the analysis. Results indicated that most subjects made route choices based mainly on their recent experiences. Results also demonstrated that route choice behavior is related to the personal characteristics as well as the characteristics of the respective routes. Travel experiences had less effect on route choice and the results indicate that the prediction accuracy of the model, the acceptance rate of advice, and the quality of advice are closely related.

• Record URL:
  https://escholarship.org/uc/item/53d2t6df.pdf
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/10551425
• Corporate Authors:

  University of California, Davis

  Institute of Transportation Studies
  Davis, CA  United States  95616

  University of California, Berkeley

  California PATH Program, Institute of Transportation Studies
  Richmond Field Station, 1357 South 46th Street
  Richmond, CA  United States  94804-4648

  California Department of Transportation

  Division of Research, Innovation and System Information
  1727 30th Street, MS 83
  Sacramento, CA  United States  95816
• Authors:
  • Yang, Hai
  • Kitamura, Ryuichi
  • Jovanis, Paul P
  • Vaughn, Kenneth M
  • Abdel-Aty, M
  • Reddy, Prasuna D V G
• Publication Date: 1993-9

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: 29p
• Serial:
  • PATH Research Report
  • Publisher: University of California, Berkeley
  • ISSN: 1055-1425

Subject/Index Terms

• TRT Terms: Advanced traveler information systems; Driver information systems; Neural networks; Route choice; Route guidance
• Subject Areas: Data and Information Technology; Highways; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01565296
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Report/Paper Numbers: UCB-ITS-PRR-93-13
• Files: CALTRANS, TRIS, ATRI, STATEDOT
• Created Date: May 29 2015 9:35AM