Crash Data Correlation

Crash Data Correlation is a formal methodology used in crashworthiness validation to quantitatively compare and assess the similarity between experimental and simulated crash test data, ensuring model accuracy through systematic evaluation of dynamic response metrics.

36

Publications

1.3K

Citations

98

Authors

43

Institutions

Publications per year

2017–2026

10

Variants

Crash Correlation

Authors

98

  1. MA
    Mohamed Abdel‐Aty

    University of Central Florida, United States

    3 publications · 161 citations

    3

    h-index

  2. AF
    Aimee Flannery

    George Mason University, United States

    2 publications · 45 citations

    2

    h-index

  3. TK
    Tapan K Datta

    Wayne State University, United States

    2 publications · 45 citations

    2

    h-index

  4. EA
    Elizabeth A. Edgerton

    Health Resources and Services Administration, United States

    1 publications · 56 citations

    1

    h-index

  5. EH
    Ezra Hauer

    University of Toronto, Canada

    1 publications · 13 citations

    1

    h-index

1–5 of 98

Venues

  1. 8

    h-index

  2. Accident Analysis & Prevention

    3 publications · 211 citations

    3

    h-index

  3. Journal of Safety Research

    2 publications · 87 citations

    2

    h-index

  4. Journal of Musculoskeletal Pain

    1 publications · 32 citations

    1

    h-index

  5. Transportation Human Factors

    1 publications · 120 citations

    1

    h-index

1–5