Self-organizing pedestrian movement

@inproceedings{Helbing2000SelforganizingPM,
  title={Self-organizing pedestrian movement},
  author={Dirk Helbing},
  year={2000}
}
Although pedestrians have individual preferences, aims, and destinations, the dynamics of pedestrian crowds is surprisingly predictable. Pedestrians can move freely only at small pedestrian densities. Otherwise their motion is affected by repulsive interactions with other pedestrians, giving rise to self-organization phenomena. Examples of the resulting patterns of motion are separate lanes of uniform walking direction in crowds of oppositely moving pedestrians or oscillations of the passing… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 68 references

`̀ Nichtlineare Pha« nomene in einem fluid-dynamischen Verkehrsmodell'' [Nonlinear phenomena in a fluid-dynamic traffic model

K Bolay
Master's thesis, Department of Theoretical Physics II, • 1998
View 5 Excerpts
Highly Influenced

`̀ Pedestrian dynamics and trail formation'', in Traffic and Granular Flow'97

D Helbing
Eds M Schreckenberg, D E Wolf (Springer, Berlin) pp • 1998
View 6 Excerpts
Highly Influenced

Molnär P, 1997b, `̀Active walker model for the formation

D Helbing, F Schweitzer, J Keltsch
1997
View 4 Excerpts
Highly Influenced

Verkehrsdynamik [Traffic dynamics] (Springer, Berlin

D Helbing
1997
View 19 Excerpts
Highly Influenced

`̀ Self-organization phenomena in pedestrian crowds'', in Selforganization of Complex Structures: From Individual to Collective Dynamics Ed

D Helbing, P Molnär
F Schweitzer (Gordon and Breach, London) pp • 1997
View 11 Excerpts
Highly Influenced

Modellierung und Simulation der Dynamik von FuÞga« ngerstro« men [Modelling and simulation of the dynamics of pedestrian motion] (Shaker

P Molnär
1996
View 16 Excerpts
Highly Influenced

`̀ Traffic modeling by means of physical concepts'', in Traffic and Granular Flow

D Helbing
A Bachem (World Scientific, Singapore) pp • 1996
View 10 Excerpts
Highly Influenced

Social force model for pedestrian dynamics.

Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics • 1995
View 9 Excerpts
Highly Influenced

`̀ Computer simulations of pedestrian dynamics and trail formation'', in Evolution of Natural Structures (Sonderforschungsbereich 230, Stuttgart) pp

D Helbing, P Molnär, F Schweitzer
1994
View 6 Excerpts
Highly Influenced

Stochastische Methoden, nichtlineare Dynamik und quantitative Modelle sozialer Prozesse [Stochastic methods, non-linear dynamics and quantitative models of social processes] (Shaker

D Helbing
1993
View 4 Excerpts
Highly Influenced

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