Statistical model fitting and model selection in pedestrian dynamics research
Pedestrian dynamics is concerned with understanding the movement patterns that arise in
places where more than one person walks. Relating theoretical models to data is a crucial …
places where more than one person walks. Relating theoretical models to data is a crucial …
Time, spatial, and descriptive features of pedestrian tracks on set of visualizations
The aim of the paper is to elaborate on and evaluate a multiperspective cartographic
visualization of the spatial behavior of pedestrians in urban space. The detailed objective is …
visualization of the spatial behavior of pedestrians in urban space. The detailed objective is …
Toward learning dynamic origin-destination matrices from crowd density heatmaps
M Gödel, D Lehmberg, R Brydon… - Journal of Statistical …, 2022 - iopscience.iop.org
Knowing the origins and destinations of pedestrians' paths is key to the initialization of crowd
simulations. Unfortunately, they are difficult to measure in the real world. This is one major …
simulations. Unfortunately, they are difficult to measure in the real world. This is one major …
Decentralized pedestrian density maps based on sidelink communication
S Schuhbäck, L Wischhof - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Given the present situation brought about by the COVID-19 pandemic, social-distancing and
avoiding dense situations for pedestrians is of uttermost importance. However, to know if the …
avoiding dense situations for pedestrians is of uttermost importance. However, to know if the …
Can we learn where people come from? Retracing of origins in merging situations
One crucial information for a pedestrian crowd simulation is the number of agents moving
from an origin to a certain target. While this setup has a large impact on the simulation, it is in …
from an origin to a certain target. While this setup has a large impact on the simulation, it is in …