Simulation of pedestrian crowds in normal and evacuation situations

By Dirk Helbing, Illés J. Farkas, Péter Molnár, Tamás Vicsek. 2002

991 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7f6aee02aecbce0fdd34fb88b6271061a1e02584

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Modifications of the Helbing-Molnár-Farkas-Vicsek Social Force Model for Pedestrian Evolution (2005, background): “Finally, the model considered in other sources [10-12] introduces social and physical forces among pedestrians and then treats each pedestrian as a particle abiding the laws of Newtonian mechanics.”
Saving Human Lives: What Complexity Science and Information Systems can Contribute (2014, unknown): “For example, the use of tear gas may have played a significant role in the crowd disasters in Lima, Peru (1998), Durban, South Africa (2000), Lisbon, Portugal (2000), Harare, Zimbabwe (2000), and Chicago, Illinois (2003) [23].”
Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions (2005, background): “However, a rather extensive summary of the state of the art of pedestrian and panic research was recently given (Helbing et al. 2002).”
Basics of Modelling the Pedestrian Flow (2005, background): “he private sphere of each pedestrian [8]. The complete model reproduces many self-organization phenomena like e.g. the formation of lanes in bi-directional streams and the oscillations at bottlenecks [8, 12, 13, 14, 15, 16, 17]. In the publications cited, the exact form of this repulsive interaction”
People tracking with human motion predictions from social forces (2010, background): “[13], [15] is a computational model in which the interactions between Fig.”
Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions (2011, result): “This increase in the flow due to obstruction near the exit is consistent with mathematical predictions for pedestrian crowds (Helbing et al. 2002).”
Modeling crowd evacuation of a building based on seven methodological approaches (2009, background): “[48] have summarized that at medium and high densities, the motion of pedestrian crowds shows some striking analogies with the motion of fluids.”