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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/10551425
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Corporate Authors:
University of California, Davis
Institute of Transportation Studies
Davis, CA United States 95616University of California, Berkeley
California PATH Program, Institute of Transportation Studies
Richmond Field Station, 1357 South 46th Street
Richmond, CA United States 94804-4648California 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
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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