Data-driven spatio-temporal discretization for pedestrian flow characterization
• Data potential utilized for the characterization of pedestrian movements. • Data-driven spatio-temporal discretization framework. • Robustness with respect to the simulation noise and to the sampling frequency. • Flexible and general methodological framework.
Gespeichert in:
| Autor*in: |
Nikolić, Marija [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Umfang: |
18 |
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| Übergeordnetes Werk: |
Enthalten in: Dithiocarbamate-calix[4]arene functionalized gold nanoparticles as a selective and sensitive colorimetric probe for assay of metsulfuron-methyl herbicide - Rohit, Jigneshkumar V. ELSEVIER, 2016, an international journal : a journal affiliated with IFAC, the International Federation of Automatic Control, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:94 ; year:2018 ; pages:185-202 ; extent:18 |
| Links: |
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| DOI / URN: |
10.1016/j.trc.2017.08.026 |
|---|
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Enthalten in Dithiocarbamate-calix[4]arene functionalized gold nanoparticles as a selective and sensitive colorimetric probe for assay of metsulfuron-methyl herbicide Amsterdam [u.a.] volume:94 year:2018 pages:185-202 extent:18 |
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Data-driven spatio-temporal discretization for pedestrian flow characterization |
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• Data potential utilized for the characterization of pedestrian movements. • Data-driven spatio-temporal discretization framework. • Robustness with respect to the simulation noise and to the sampling frequency. • Flexible and general methodological framework. |
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• Data potential utilized for the characterization of pedestrian movements. • Data-driven spatio-temporal discretization framework. • Robustness with respect to the simulation noise and to the sampling frequency. • Flexible and general methodological framework. |
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