The Air Traffic Control Operational Errors Severity Index: An Initial Evaluation

Abstract

An initial evaluation of the Federal Aviation Administration's (FAA) Air Traffic Control (ATC) Operational Error (OE) Severity Index (SI) was conducted by the Civil Aerospace Medical Institute's (CAMI) Aerospace Human Factors Research Division (AAM-500). The SI is computed from data that, for the most part, can be objectively determined by post hoc investigation of OEs. Up to 100 points are assigned for varying levels of vertical separation, horizontal separation, closure rate, direction of flight paths, and the amount of controller awareness at the time of the OE. Based on the point totals, OEs are classified as follows: low (D), low moderate (C), high moderate (B), and high severity (A). This review and subsequent analyses focused on three key issues: (1) the distributional characteristics of operational errors, (2) the collision safety margin associated with SI point values, and (3) the objectivity associated with SI classifications of high moderate and high severity OEs. The authors concluded that the SI provides a rational approach for categorizing the severity of ATC Operational Errors. Although questions remained as to the SI cut scores used to categorize OEs, it was recommended that the cut scores should not be changed unless objective measures can be developed to support those changes. Seven tables and six figures are appended.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2005
Accession Number
ADA460573

Entities

People

  • David J. Schroeder
  • Julia Pounds
  • Larry L. Bailey

Organizations

  • Federal Aviation Administration

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Aerospace Medicine
  • Air Traffic
  • Aircrafts
  • Altitude
  • Aviation Medicine
  • Classification
  • Data Analysis
  • Descriptive Analytics
  • Discriminant Analysis
  • Flight Paths
  • High Altitude
  • Information Exchange
  • Information Science
  • Low Altitude
  • Statistical Analysis
  • Statistics
  • United States

Readers

  • Aviation Safety Risk Assessment.
  • Aviation Safety and Air Traffic Management
  • Mathematics or Statistics

Technology Areas

  • Space