Understanding the behavior of human crowds is a key step toward a safer society and more
livable cities. Despite the individual variability and will of single individuals, human crowds …

Physical distancing, as a measure to contain the spreading of Covid-19, is defining a “new
normal”. Unless belonging to a family, pedestrians in shared spaces are asked to observe a …

We present PANDA, the first gigaPixel-level humAN-centric viDeo dAtaset, for large-scale,
long-term, and multi-object visual analysis. The videos in PANDA were captured by a …

The possible presence of social groups amongst occupants in indoor evacuation scenarios
and the potential discrepancies between their behaviour and that of single individuals have …

Being determined by human social behaviour, pedestrian group dynamics may depend on
“intrinsic properties” such as the purpose of the pedestrians, their personal relation, gender …

Crowd dynamics has emerged as an important topic of investigation in recent years. Several
studies have been conducted to better understand the underlying factors that can influence …

Virtual geographic environments (VGEs) are extensively used to explore the relationship
between humans and environments. Crowd simulation provides a method for VGEs to …

The literature on pedestrian modeling and simulation models is surveyed, with an emphasis
on emergency situations. The state of the art is organized and presented from this …

We study the dependence on crowd density of the spatial size, configuration, and velocity of
pedestrian social groups. We find that, in the investigated density range, the extension of …

Most analyses of travel patterns are based on the assumption of isolated individuals and
ignore interpersonal relationships between travelers. In this paper, we develop a …