Crowd Management Systems

Crowd Management Systems is a technological framework designed to monitor, analyze, and regulate the movement and behavior of attendees at events through real-time data integration, predictive modeling, and coordinated response mechanisms to ensure safety, efficiency, and optimal crowd flow.

363

Publications

16.4K

Citations

1.2K

Authors

476

Institutions

Publications per year

2017–2026

181

Authors

1.2K

  1. MS
    Michael S. Bernstein

    Stanford University, United States

    7 publications · 842 citations

    7

    h-index

  2. JP
    Jeffrey P. Bigham

    Carnegie Mellon University, United States

    7 publications · 321 citations

    7

    h-index

  3. MH
    Milad Haghani

    UNSW Sydney, Australia

    6 publications · 312 citations

    6

    h-index

  4. SH
    Serge Hoogendoorn

    Delft University of Technology, Netherlands

    6 publications · 122 citations

    6

    h-index

  5. WS
    Walter S. Lasecki

    University of Michigan, United States

    6 publications · 506 citations

    6

    h-index

1–5 of 1.2K

Venues

  1. IEEE Access

    14 publications · 528 citations

    13

    h-index

  2. Safety Science

    10 publications · 848 citations

    10

    h-index

  3. IEEE Communications Magazine

    7 publications · 377 citations

    7

    h-index

  4. arXiv (Cornell University)

    Repository · 6 publications · 187 citations

    6

    h-index

  5. 5

    h-index

1–5