Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Data assimilation approach for addressing incompleteness in pedestrian flow measurement techniques using particle filter

Fig 5

Comparison of the ground truth OD matrices (upper) and the simulated OD matrices (lower) for each attribute, along with the combined OD matrix, in Case 2.

(a) OD matrix for attribute 1 (ground truth, upper; simulated, lower). (b) OD matrix for attribute 2 (ground truth, upper; simulated, lower). (c) OD matrix for attribute 3 (ground truth, upper; simulated, lower). (d) OD matrix for attribute 4 (ground truth, upper; simulated, lower). (e) Combined OD matrix (ground truth, upper; simulated, lower). The OD matrices from (a) to (d) are derived from data assimilation, utilizing inflow count data that can distinguish between attributes. The color bar represents the transition count between stores.

Fig 5

doi: https://doi.org/10.1371/journal.pone.0349624.g005