Recent years have witnessed an explosion of extensive geolocated datasets related to
human movement, enabling scientists to quantitatively study individual and collective …

Crowds are a feature of large cities, occurring not only at mass gatherings but also at routine
events such as the journey to work. To address extreme crowding, various computer models …

With the increasing size and frequency of mass events, the study of crowd disasters and the
simulation of pedestrian flows have become important research areas. However, even …

When a large set of discrete bodies passes through a bottleneck, the flow may become
intermittent due to the development of clogs that obstruct the constriction. Clogging is …

This contribution describes efforts to model the behavior of individual pedestrians and their
interactions in crowds, which generate certain kinds of self-organized patterns of motion …

Many observations of the dynamics of pedestrian crowds, including various self-organization
phenomena, have been successfully described by simple many-particle models. For ethical …

Each year, crowd disasters happen in different areas of the world. How and why do such
disasters happen? Are the fatalities caused by relentless behavior of people or a …

Based on suitable video recordings of interactive pedestrian motion and improved tracking
software, we apply an evolutionary optimization algorithm to determine optimal parameter …

Despite recent advances in uncovering the quantitative features of stationary human activity
patterns, many applications, from pandemic prediction to emergency response, require an …

Capacity estimation is an important tool for the design and dimensioning of pedestrian
facilities. The literature contains different procedures and specifications that show …