AGENT-BASED MODEL FOR MICROSIMULATION OF LARGE SCAL PEDESTRIAN CROWD

  • RABIAA CHIGHOUB Department of Computer Sciences, Lesia Laboratory, Biskra University Biskra, Algeria
  • FOUDIL CHERIF Department of Computer Sciences, Lesia Laboratory, Biskra University Biskra, Algeria

Résumé

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.

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Publiée
2017-02-06
Comment citer
CHIGHOUB, RABIAA; CHERIF, FOUDIL. AGENT-BASED MODEL FOR MICROSIMULATION OF LARGE SCAL PEDESTRIAN CROWD. Courrier du Savoir, [S.l.], v. 22, fév. 2017. ISSN 1112-3338. Disponible à l'adresse : >http://revues.univ-biskra.dz/index.php/cds/article/view/1910>. Date de consultation : 27 avr. 2017