Agent-based models (ABMs) offer promise for realistically simulating human behaviours and
interactions during emergency evacuations. This review aims to systematically assess the …

Predicting crowd dynamics in real-time may allow the design of adaptive pedestrian flow
control mechanisms that prioritize attendees' safety and overall experience. Single-Input …

In this research paper, we present a sensitivity analysis of parameters utilized in an agent-
based model for crowd simulations. The model is made up of two types of agents that …

Emergency evacuation planning is a vital problem that affects building occupants' safety.
The commonly used static evacuation plans rely on static signs disregarding crowd density …

Passenger transit hub is a quintessential complex system, characterized by intricate
interactions among humans, facilities, and the surrounding environment. External …

Route choice is a complex issue in simulating individual behaviors and reproducing
collective phenomena during evacuations. A growing concern has been given to the …

Quantitative methods of collective intelligence, as a means of describing the degree of
intelligence emergence in the process of gaming or collaborating, are of great significance …

In recent years, and especially during the on-going pandemic, the interest in investigating
the dynamics of infodemics has increased to unprecedented levels. In this study we propose …

The agent-based simulation is a cutting-edge example of a fresh and clever technique
intended to fulfil these goals. Numerous academics and researchers investigated the crucial …

In recent years, virtual reality technology has been widely applied and researched in various
fields. In digital architectural design and simulation, it has gradually become an important …