Modeling crowd dynamics through coarse-grained data analysis
Understanding and predicting the collective behaviour of crowds is essential to improve the efficiency of pedestrian flows in urban areas and minimize the risks of accidents at mass events. We advocate for the development of crowd traffic management systems, whereby observations of crowds can be cou...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2018-11-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2018059 |
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