Crowd simulation is a convenient method to evaluate pedestrians' status and their
corresponding management strategies in large public spaces. However, the performance of …

In this paper we present a model based on the parallel computational tool of cellular
automata (CA) capable of simulating the process of disembarking in a small airplane seat …

A discretization is applied to the continuous field-based pedestrian model to derive a
discrete version. The concept of walk period is introduced so that pedestrians' varied …

This paper presents the parallel implementation, using the Compute Unified Device
Architecture (CUDA) architecture, of the SCIARA-fv3 Complex Cellular Automata model for …

We compare GPGPU implementations of two popular models of crowd dynamics.
Specifically, we consider a continuous social force model, based on differential equations …

A parallel algorithm is proposed for modeling of crowd multi-cell occupancy and velocity
variety. Methods are devised to solve issues such as space competitions so that each …

During the past years, Cellular Automata (CAs) have been extensively used for modeling of
many complex systems and processes with great success. In this paper, we study a Cellular …

Two aspects of improvements are proposed for the OpenCL-based implementation of the
social field pedestrian model. In the aspect of algorithm, a method based on the idea of …

There are many scientific applications ranging from weather prediction to oil and gas
exploration that requires high-performance computing. It aids industries and researchers to …

The aim of our paper is to present the concept and structure of a software tool named the
ALMM Solver. The goal of the solver is to generate solutions for discrete optimization …