Crowd Flow Modeling

Crowd Flow Modeling is a computational simulation framework that predicts and analyzes the movement patterns of pedestrian populations in event spaces to optimize security planning and prevent overcrowding.

317

Publications

19.2K

Citations

915

Authors

351

Institutions

Publications per year

2017–2026

144

Authors

915

  1. SW
    S.C. Wong

    University of Hong Kong, Hong Kong SAR China

    9 publications · 829 citations

    9

    h-index

  2. YJ
    Yanqun Jiang

    Southwest University of Science and Technology, China

    7 publications · 303 citations

    7

    h-index

  3. JZ
    Jun Zhang

    University of Science and Technology of China, China

    7 publications · 228 citations

    7

    h-index

  4. SL
    Siuming Lo

    City University of Hong Kong, Hong Kong SAR China

    6 publications · 243 citations

    6

    h-index

  5. JM
    Jian Ma

    Southwest Jiaotong University, China

    6 publications · 215 citations

    6

    h-index

1–5 of 915

Venues

  1. 23

    h-index

  2. Physical Review E

    PRE · 11 publications · 2.2K citations

    11

    h-index

  3. arXiv (Cornell University)

    Repository · 9 publications · 369 citations

    9

    h-index

  4. Journal of Statistical Mechanics Theory and Experiment

    JSTAT · 5 publications · 126 citations

    5

    h-index

  5. Neurocomputing

    5 publications · 388 citations

    5

    h-index

1–5