Author/Authors :
chighoub, rabiaa biskra university - department of computer sciences, lesia laboratory, Algeria , cherif, foudil biskra university - department of computer sciences, lesia laboratory, Algeria
Title Of Article :
AGENT-BASED MODEL FOR MICROSIMULATION OF LARGE SCAL PEDESTRIAN CROWD
Abstract :
In this paper, we addresses the development of agent-based model for real-time simulation of large scale pedestrian crowds. Its focus is to produce realistic pedestrian navigation and path planning within the environment whilst maintaining real time frame rates. The main assumption of this work is that the navigational behaviors of pedestrians are modeled realistically through hierarchical motions in multi layers of path planning, local path determination and locomotion. The inter-relationship between these layers is defined. Our method can be easily combined with most current local collision-avoidance methods and we use two such methods as examples to highlight the potential of our approach.We also demonstrate some simulation results of Guarder to show that it could efficiently simulate life like crowd behaviors in a large-scale and complex environment.
NaturalLanguageKeyword :
Real time simulation , crowd behavior , micro , scale representation , multi , layered framework
JournalTitle :
Courrier Du Savoir
