We give an overview of time-continuous pedestrian models with a focus on data-driven
modelling. Starting from pioneer, reactive force-based models we move forward to modern …

Nonverbal communication is paramount in daily life, as well as in populated virtual reality
(VR) environments. In this paper, we focused on gaze behaviour, which is key to initiate and …

The inevitable impact of autonomous vehicles (AV) on traffic safety is becoming a reality with
the progressive deployment of these vehicles in different parts of the world. Still, many …

Crowd motion represents a ubiquitous phenomenon across various contexts in reality, and
has been extensively investigated at different scales. This paper aims to investigate order …

Busy walking paths, like in a park, city centre, or shop** mall, frequently necessitate
collision avoidance behaviour. Lab-based research has shown how different situation-and …

Human crowds exhibit rich self-organizing behaviors through local interactions. The
understanding of interaction mechanisms has important implications for the management of …

This article provides comparative perspectives on collective behaviors that are widely found
throughout the animal kingdom, ranging from insect and crustacea swarms, fish schools …

Precise assessment of Space-speed time delay (TD) is critical for distinguishing between
anticipation and reaction behaviors within pedestrian motion. Besides, the TD scale is …

The precise assessment of speed-space time delay (TD) significantly facilitates the
differentiation between pedestrian anticipation behavior and reaction behavior. Importantly …

Urban centers are getting crowded, public transportation is becoming congested, and mass
events are attracting an increasing number of people. Crowd disasters are not rare, and to …