Crowd Movement Analysis

Crowd Movement Analysis is a computational method within mobility pattern analysis that specifically models and interprets the collective spatiotemporal behaviors of pedestrian groups in urban or confined environments to identify dynamic flow patterns, congestion risks, and behavioral regularities.

556

Publications

28.5K

Citations

1.5K

Authors

545

Institutions

Publications per year

2017–2026

243

Authors

1.5K

  1. DM
    Dinesh Manocha

    University of North Carolina at Chapel Hill, United States

    16 publications · 989 citations

    13

    h-index

  2. MS
    Majid Sarvi

    Monash University, Australia

    12 publications · 909 citations

    12

    h-index

  3. SB
    Stefania Bandini

    University of Milano-Bicocca, Italy

    12 publications · 276 citations

    11

    h-index

  4. SD
    Sultan Daud Khan

    National University of Technology, Pakistan

    9 publications · 237 citations

    9

    h-index

  5. WC
    Wentong Cai

    Nanyang Technological University, Singapore

    8 publications · 219 citations

    8

    h-index

1–5 of 1.5K

Venues

  1. 16

    h-index

  2. Neurocomputing

    14 publications · 829 citations

    13

    h-index

  3. IEEE Access

    11 publications · 293 citations

    11

    h-index

  4. 9

    h-index

  5. Transportation research procedia

    TRPRO · 8 publications · 222 citations

    8

    h-index

1–5