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
Parents
236
Adrien Treuille, Seth Cooper, Zoran Popović · ACM Transactions on Graphics · 2006 · 868 citations
Predicting citywide crowd flows using deep spatio-temporal residual networks
Junbo Zhang, Yu Zheng, Dekang Qi et al. · Artificial Intelligence · 2018 · 517 citations
PETS2009: Dataset and challenge
James Ferryman, Ali Shahrokni · 2009 · 481 citations
1–5 of 236
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Tsinghua University
Beijing, China
13 h-index
46 publications
1.7K citations
The University of Tokyo
Tokyo, Japan
8 h-index
22 publications
1.3K citations

Zhejiang University
Hangzhou, China
7 h-index
10 publications
352 citations
University of Science and Technology of China
Hefei, China
7 h-index
12 publications
476 citations

Southwest Jiaotong University
Chengdu, China
6 h-index
20 publications
2.6K citations
Beijing Jiaotong University
Beijing, China
6 h-index
19 publications
734 citations
Umm al-Qura University
Makkah al Mukarramah, Saudi Arabia
6 h-index
5 publications
282 citations

UNSW Sydney
Sydney, Australia
6 h-index
6 publications
170 citations
1–8 of 267
12 publications · 807 citations
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7 publications · 321 citations
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Repository · 7 publications · 152 citations
7
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5 publications · 184 citations
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4 publications · 300 citations
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