Crowd Density Management

Crowd Density Management is a computational framework within evacuation design that regulates the spatial distribution and movement of individuals in emergency scenarios to prevent overcrowding and optimize egress efficiency by dynamically controlling inflow rates, routing strategies, and exit allocations in real time.

54

Publications

3.6K

Citations

225

Authors

103

Institutions

Publications per year

2017–2026

28

Authors

225

  1. UP
    Urmila Pyakurel

    Tribhuvan University, Nepal

    3 publications · 140 citations

    3

    h-index

  2. BS
    Benjamin Sun

    Oregon Health & Science University, United States

    3 publications · 859 citations

    3

    h-index

  3. TN
    Tanka Nath Dhamala

    Tribhuvan University, Nepal

    3 publications · 140 citations

    3

    h-index

  4. AK
    Alf Kimms

    University of Duisburg-Essen, Germany

    2 publications · 105 citations

    2

    h-index

  5. SZ
    Shibao Zheng

    Shanghai Jiao Tong University, China

    1 publications · 25 citations

    1

    h-index

1–5 of 225

Venues

  1. Annals of Emergency Medicine

    4 publications · 1.1K citations

    4

    h-index

  2. 3

    h-index

  3. The American Journal of Emergency Medicine

    AJEM · 2 publications · 68 citations

    2

    h-index

  4. IEEE Internet of Things Journal

    2 publications · 84 citations

    2

    h-index

  5. IEEE Access

    2 publications · 37 citations

    2

    h-index

1–5