Crowd Flow Analysis

Crowd Flow Analysis is a computational framework within traffic flow analysis that specifically models and predicts the movement patterns of pedestrian crowds in urban environments by integrating spatiotemporal data and behavioral dynamics distinct from vehicular traffic systems.

236

Publications

12.5K

Citations

719

Authors

267

Institutions

Publications per year

2017–2026

131

Authors

719

  1. SD
    Sultan Daud Khan

    National University of Technology, Pakistan

    6 publications · 166 citations

    6

    h-index

  2. KN
    Katsuhiro Nishinari

    The University of Tokyo, Japan

    5 publications · 312 citations

    5

    h-index

  3. BH
    Brandon Haworth

    York University, Canada

    4 publications · 66 citations

    4

    h-index

  4. SH
    Serge Hoogendoorn

    Delft University of Technology, Netherlands

    4 publications · 89 citations

    4

    h-index

  5. JM
    Jian Ma

    Southwest Jiaotong University, China

    4 publications · 170 citations

    4

    h-index

1–5 of 719

Venues

  1. 12

    h-index

  2. 8

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  3. arXiv (Cornell University)

    Repository · 7 publications · 152 citations

    7

    h-index

  4. Neurocomputing

    5 publications · 184 citations

    5

    h-index

  5. 5

    h-index

1–5