Motion Pattern Mining
Motion Pattern Mining is a computational methodology within traffic behavior analysis that identifies and extracts recurring spatiotemporal movement regularities of traffic participants from trajectory data to model and predict their future motions.
69
Publications
3.6K
Citations
222
Authors
103
Institutions
Publications per year
2017–2026
21
69
Mining periodic behaviors for moving objects
Zhenhui Li, Bolin Ding, Jiawei Han et al. · 2010 · 301 citations
A Survey on Trajectory Data Mining: Techniques and Applications
Zhenni Feng, Yanmin Zhu · IEEE Access · 2016 · 250 citations · Full text
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103
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
17 publications
2.2K citations
New York State Museum
Albany, United States
3 h-index
3 publications
524 citations

University of Electronic Science and Technology of China
Chengdu, China
3 h-index
9 publications
304 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
6 publications
189 citations

Northwestern Polytechnical University
Xi'an, China
3 h-index
6 publications
122 citations
Tsinghua University
Beijing, China
2 h-index
5 publications
141 citations
Aalborg University
Aalborg, Denmark
2 h-index
4 publications
275 citations

University of Essex
Colchester, United Kingdom
2 h-index
4 publications
267 citations
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PVLDB · 5 publications · 239 citations
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4 publications · 400 citations
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2 publications · 273 citations
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TIST · 2 publications · 148 citations
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2 publications · 96 citations
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