Journal Article FZJ-2015-04576

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Quantitative comparison of estimations for the density within pedestrian streams

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2015
IOP Publ. Bristol

Journal of statistical mechanics: theory and experiment 2015(6), P06030 - () [10.1088/1742-5468/2015/06/P06030]

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Abstract: In this work, the precision of estimators for the density within unidirectional pedestrian streams is evaluated. The analysis is done in controllable systems where the density is homogeneous and all the characteristics are known. The objectives are to estimate the global density with local measurements or density profile at high spatial resolution with no bias and low fluctuations. The classical estimation using discrete numbers of observed pedestrians is compared to continuous estimators using spacing distance, Voronoi diagram, Gaussian kernel as well as maximum likelihood. Mean squared error and bias of the estimators are calculated from empirical data and Monte Carlo experiments. The results show quantitatively how continuous approaches improve the precision of the estimations.

Classification:

Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
Research Program(s):
  1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)

Appears in the scientific report 2015
Database coverage:
Medline ; Current Contents - Physical, Chemical and Earth Sciences ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection
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 Record created 2015-06-25, last modified 2021-01-29


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