1 research outputs found
Crowd simulation for crisis management: the outcomes of the last decade
The last few decades, crowd simulation for crisis management is highlighted
as an important topic of interest for many scientific fields. As the continues
evolution of computational resources increases, along with the capabilities of
Artificial Intelligence, the demand for better and more realistic simulation
has become more attractive and popular to scientists. Along those years, there
have been published hundreds of research articles and have been created
numerous different systems that aim to simulate crowd behaviors, crisis cases
and emergency evacuation scenarios. For better outcomes, recent research has
focused on the separation of the problem of crisis management, to multiple
research sub-fields (categories), such as the navigation of the simulated
pedestrians, their psychology, the group dynamics etc. There have been extended
research works suggesting new methods and techniques for those categories of
problems. In this paper, we propose three main research categories, each one
consist of several sub-categories, relying on crowd simulation for crisis
management aspects and we present the outcomes of the last decade, focusing
mostly on works exploiting multi-agent technologies. We analyze a number of
technologies, methodologies, techniques, tools and systems introduced
throughout the last years. A comparative review and discussion of the proposed
categories is presented towards the identification of the most efficient
aspects of the proposed categories. A general framework, towards the future
crowd simulation for crisis management is presented based on the most efficient
to yield the most realistic outcomes of the last decades. The paper is
concluded with some highlights and open questions for future directions.Comment: Submitted to Expert Systems with Application