During ship emergencies, a reliable and efficient evacuation system is able to guide
passengers to the appropriate muster stations as quickly as possible. The majority of the …

Pedestrians are often encountered walking in the company of some social relations, rather
than alone. The social groups thus formed, in variable proportions depending on the context …

This paper presents a crowd evacuation simulation approach that is based on navigation
knowledge and two-layer control mechanism. In this approach, using the multi-population …

Passenger vessels often present different heeling and/or trim angles during and after
accidents, while recognising it as the main factor affecting pedestrian movement during an …

When humans escape from a threat in a crowded space, how do they choose the best
wayfinding strategy for their survival? This is a decision context in which individuals are …

This work is a systematic review of optimisation methods for pedestrian evacuations. The
focus is on interventional approaches that seek to improve evacuation efficiency rather than …

Deep reinforcement learning (DRL) has been proved to be more suitable than reinforcement
learning for path planning in large-scale scenarios. In order to more effectively complete the …

A social force model is developed in this paper to study the crowd evacuation when a
terrorist attack occurs in the public place. The persons in the model are divided into two …

The sooty smoke generated from fire reduces visibility at fire scenes. This not only slows
down evacuation, but also affects the mental states of evacuees. A series of evacuation …

The adoption of passenger leaders could make crowd evacuation in urban railway transit
(URT) stations more efficient. The number, location, and the actions of the leaders are the …