MOHAMED Chatra

DARAF Saadia

Plateforme d’inscription à l’enseignement à distance pour le secondaire

CHELLALI Mohamed

Design and Implementation of a Decision Support System Civil Protection

ATTABI Imane , MOKRANE Khawla

Conception et réalisation d’une application web d’inventaire et de gestion de pharmacie

بن يحيى أميرة

Simulation de piéton en utilisant l'algorithme A* et la logique floue

صديقي إيمان

Modélisation du comportement de piétons dans un milieu urbain

زاد الخير مريم

Simulation d'évacuation des personnes en utilisant la logique floue

مهدي رياض

Simulation d'une foule virtuelle par la logique floue

يورمش سليم

Navigation réactive d'un piéton en utilisant la logique floue

بوقرفة أحمد

Animation des entités virtuelles par la logique floue

Traffic management, urban planning, and emergency management cannot be efficiently done without crowd simulation. This paper proposes a Behavioral Clustering Method (BCM), which tackles the problem of forming crowds in clusters or subgroups based on fundamental behaviors so that congestion is minimized during effective evacuation processes. We designed BCM based on synthetic data obtained from the simulation of the evacuation of a crowd in high-risk situations. Our method regards pedestrians as intelligent agents and predicts key behavioral aspects of future crowd evacuations before they occur. We use cluster analysis on those movement and behavioral data for building and evacuation-friendly control strategies by clustering people into subgroups of behavioral similarity. The credibility of the model is validated through Python-based animations to detect and rectify errors. Results from simulation performance evaluations indicate that BCM is successful in modeling the evolution of crowd behavior at the time of evacuation.

Citation

MOHAMED Chatra , ghenabzia ahmed , Samir Akhrouf , ABDOU Mustapha , , (2025-02-01), A Simulation-Based Behavioral Clustering Method for Crowd Evacuation Analysis, YMER International Open Access Journanl, Vol:24, Issue:1, pages:22, Open Access

In this paper, we have developed a description of an agent-based model for simulating the evacuation of crowds from complex physical spaces to escape dangerous situations. This model describes a physical space that contains a set of differently shaped fences and obstacles, and an exit door. The pedestrians composing the crowd and moving in this space in order to be evacuated are described as intelligent agents with a supervised machine learning using perception-based data to perceive particular environment differently. The description of this model is developed with the Python language where its execution represents its simulation. Before the simulation, the model can be validated using an animation written with the Python language and this to fix possible problems of model description. A model performance evaluation is presented using an analysis of simulation results and this evaluation shows that these results are very encouraging.

Citation

MUSTAPHA Bourahla , ADMIN Admin , MOHAMED Chatra , , (2024-02-01), Agent-Based Simulation of Crowd Evacuation Through Complex Spaces, Ingénierie des Systèmes d’Information, Vol:29, Issue:1, pages:1-11, International Information and Engineering Technology Association (IIETA)