Restraint System Optimization

Restraint System Optimization is a computational framework designed to enhance the performance of vehicular occupant protection systems by systematically refining the parameters of restraints—such as seatbelts, airbags, and pre-tensioners—to minimize injury risk during collisions while accounting for diverse occupant characteristics and crash scenarios.

37

Publications

777

Citations

122

Authors

41

Institutions

Publications per year

2017–2026

6

Authors

122

  1. MP
    Matthew P. Reed

    University of Michigan, United States

    4 publications · 74 citations

    4

    h-index

  2. JH
    Jingwen Hu

    University of Michigan, United States

    4 publications · 74 citations

    4

    h-index

  3. LC
    Libo Cao

    Hunan University, China

    3 publications · 40 citations

    3

    h-index

  4. KD
    Kathleen D. Klinich

    Michigan Department of Transportation, United States

    3 publications · 43 citations

    3

    h-index

  5. QL
    Qing Li

    The University of Sydney, Australia

    3 publications · 178 citations

    3

    h-index

1–5 of 122

Venues

  1. 10

    h-index

  2. Traffic Injury Prevention

    4 publications · 54 citations

    4

    h-index

  3. 2

    h-index

  4. International Journal of Crashworthiness

    2 publications · 128 citations

    2

    h-index

  5. Defense Technical Information Center (DTIC)

    Repository · 1 publications · 10 citations

    1

    h-index

1–5