A Data Fusion Framework for Meta-Evaluation of Intelligent Transportation System Effectiveness

Details

• Creators:
  Evanco, William M.
• Corporate Creators:
  Mitre Corporation ; United States. Federal Highway Administration
• Subject/TRT Terms:
  • Intelligent transportation systems
  • Data fusion
  • Data processing
  • Demonstration projects
  • Methodology
  • Experiments
  • META-EVALUATION
  • OPERATIONAL TESTS
  • DATA FUSION
• Publication/ Report Number:
  WN 96W0000004
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  United States. Joint Program Office for Intelligent Transportation Systems
• NTL Classification:
  NTL-INTELLIGENT TRANSPORTATION SYSTEMS-INTELLIGENT TRANSPORTATION SYSTEMS
• Abstract:
  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.
• Format:
  PDF
• Funding:
  DTFH61-95-C-00040
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/4181/dot_4181_DS1.pdf
• File Type:
  [PDF - 724.71 KB]
• Collection(s):
  ITSJPO Digital Library
• Main Document Checksum:
  urn:sha256:373877d49d86ae13eb660c207eb2f98e2d58813beeb0ef7a693d67f00f977025