A DATA FUSION FRAMEWORK FOR META-EVALUATION OF INTELLIGENT TRANSPORTATION SYSTEM EFFECTIVENESS
This study presents a framework for the meta-evaluation of Intelligent Transportation System effectiveness. The framework is based on data fusion approaches that adjust for data biases and violations of other standard statistical assumptions. Operational test characteristics that have a bearing on meta-evaluation methodology are identified in the context of the experimental paradigm. Data fusion approaches are presented for various types of measures of effectiveness and techniques for handling biases of various kinds are developed
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- Record URL:
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Supplemental Notes:
- Publication Date: March 1996. Joint Program Office for Intelligent Transportation Systems Washington DC. Format: website
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Corporate Authors:
MITRE Corporation
7515 Colshire Drive
McLean, VA United States 22102 -
Authors:
- Evanco, William M
- Publication Date: 1996
Language
- English
Media Info
- Pagination: 39 p.
Subject/Index Terms
- TRT Terms: Data fusion; Intelligent transportation systems; Technology assessment
- Subject Areas: Operations and Traffic Management;
Filing Info
- Accession Number: 00963647
- Record Type: Publication
- Source Agency: UC Berkeley Transportation Library
- Files: PATH, NTL
- Created Date: Oct 2 2003 12:00AM