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 …

In crowd scenarios, predicting trajectories of pedestrians is a complex and challenging task
depending on many external factors. The topology of the scene and the interactions …

This paper presents a review and critical analysis on the modeling of the dynamics of
vehicular traffic, human crowds and swarms seen as living and, hence, complex systems. It …

Collecting pedestrian behaviour data is vital to understand pedestrian behaviour. This
systematic review of 147 studies aims to determine the capability of contemporary data …

Introduction The safety of humans in crowded environments has been recognised as an
important and rapidly growing research area with significant implications for urban planning …

This paper proposes a new path planning approach for emergency evacuation simulation.
This technique combines the Extended Social Force Model (ESFM) and the Improved …

With the increasing of risk potential in crowded places, evacuation management becomes
practically important to ensure the safety of crowds. The studies of crowd evacuation in …

Human crowd motion is mainly driven by self-organized processes based on local
interactions among pedestrians. While most studies of crowd behaviour consider only …

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

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 …