Simulation of High Density Pedestrian Flow: A Microscopic Model

Abstract

In recent years, modelling crowd and evacuation dynamics has become very important, with increasing huge numbers of people gathering around the world for many reasons and events. The fact that our global population grows dramatically every year and the current public transport systems are able to transport large amounts of people heightens the risk of crowd panic or crush. Pedestrian models are based on macroscopic or microscopic behaviour. In this paper, we are interested in developing models that can be used for evacuation control strategies. This model will be based on microscopic pedestrian simulation models, and its evolution and design requires a lot of information and data. The people stream will be simulated, based on mathematical models derived from empirical data about pedestrian flows. This model is developed from image data bases, so called empirical data, taken from a video camera or data obtained using human detectors. We consider the individuals as autonomous particles interacting through social and physical forces, which is an approach that has been used to simulate crowd behaviour. The target of this work is to describe a comprehensive approach to model a huge number of pedestrians and to simulate high density crowd behaviour in overcrowding places, e.g. sport, concert and pilgrimage places, and to assist engineering in the resolution of complicated problems through integrating a number of models from different research domains.

A Modelling and Scheduling Tool for Crowd Movement in Complex Network

“…Dridi [10] developed a microscopic model that uses PedFlow simulation [2] to discuss the high-density crowd behaviour in autonomous and controlled scenarios. To validate the model, the simulation was carried out to study the high-density pilgrims crowd cramming the Jamarat bridge during the Hajj event.…”

A cellular automaton model for a pedestrian flow problem

“…via N ped ordinary differential equations, where N ped is the number of pedestrians. See [10] for a simulation of pedestrian behaviour in overcrowding places based on the microscopic approach. Here, we concentrate on the cellular automaton approach.…”

Digital Revolution for Hajj Crowd Management: A Technology Survey

“…Dridi et al [139] discuss existing extensive approaches to simulate huge crowds and model their behaviour in overcrowding environments. The social and physical forces affected the pedestrian behaviours in PedFlow simulation.…”