The role of data-driven approaches in studies of crowd behaviour has received an
unprecedented recognition in recent years. As a result, the size of the empirical crowd …

Complex movement patterns of pedestrian traffic, ranging from unidirectional to
multidirectional flows, are frequently observed in major public infrastructure such as …

Following the review of the experimental methods and top emerging topics, here, studies
using the field data collection methods of pedestrian dynamics (April 2017-July 2019) are …

Pedestrian dynamics is an interdisciplinary field of research. Psychologists, sociologists,
traffic engineers, physicists, mathematicians and computer scientists all strive to understand …

Dense crowds in public spaces have often caused serious security issues at large events. In
this paper, we study the 2010 Love Parade disaster, for which a large amount of data (eg …

Crowd simulation is a crucial tool to assess risks and engineer crowd safety at events and in
built infrastructure. Simulations can be used for what-if studies, for real-time predictions, as …

The original social force model of pedestrians and its variants have been extensively studied
in the past. However, little attention has been given to their parameter estimation and …

Crowd motion simulation requires specification of a range of parameters, each reflecting
certain aspects of agent behavior. But what parameters matter the most? Are they all equally …

In places with high-density pedestrian movements, irrational emotions can quickly spread
out under emergency, which may eventually lead to asphyxiation and crushing. It was …

This article presents an experimental investigation into pedestrian behavior while navigating
through right-angled corners (defined as angles measuring exactly 90 degrees) …