Pedestrian Behavior at Bottlenecks
By Serge P. Hoogendoorn, Winnie Daamen. Transportation Science, 2005
566 citations recorded by the source corpus.
Subfields: Ocean Engineering, Safety, Risk, Reliability and Quality, Transportation
View Paper: https://www.semanticscholar.org/paper/fbd31097ab8c81535118abd72e6f7ad2c3dbbc3d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ocean Engineering
- Armin Seyfried
- Wolfram Klingsch
- Andreas Schadschneider
- Dirk Helbing
- Mehdi Moussaïd
- Guy Theraulaz
- Anders Johansson
- Habib Z. Al-Abideen
In Safety, Risk, Reliability and Quality
- Dirk Helbing
- Anders Johansson
- Tobias Kretz
- Armin Seyfried
- Anna Grünebohm
- Bernhard Steffen
- Michael Schreckenberg
- Hubert Klüpfel
In Transportation
- Armin Seyfried
- Tobias Kretz
- Dirk Helbing
- Anna Grünebohm
- Bernhard Steffen
- Michael Schreckenberg
- Wolfram Klingsch
- Andreas Schadschneider
Citations in the corpus
- Generalized centrifugal-force model for pedestrian dynamics. (2010, background): “In [20] characteristics of lateral swaying are determined experimentally.”
- Basics of Modelling the Pedestrian Flow (2005, background): “ty relation for the movement in a plane without bottlenecks, stairs or ramps. A multitude of causes can be considered which determine this dependency, for instance friction forces, the ’zipper’ effect [23] and marching in step [24, 25]. As shown in [25] the empirical velocity-density relation for the”
- New Insights into Pedestrian Flow Through Bottlenecks (2007, background): “ar X iv :p hy si cs /0 70 20 04 v2 [ ph ys ic Keywords: Pedestrian dynamics, traffic flow, traffic and crowd dynamics, capacity of bottlenecks”
- The Walking Behaviour of Pedestrian Social Groups and Its Impact on Crowd Dynamics (2010, background): “While a lot is known about the ‘physics’ of crowd motion, such as the organization emerging around bottlenecks [6,7], the segregation of opposite flows in pedestrian counterstreams [8,9,10], or the turbulent movement in extremely dense crowds [11,12], it is surprising that social interactions among ”
- Evacuation Dynamics: Empirical Results, Modeling and Applications (2008, methodology): “The empirical results of [65, 66] indicate a distance between lanes of d ≈ 0.”
- Saving Human Lives: What Complexity Science and Information Systems can Contribute (2014, unknown): “The problems implied by bottlenecks have been demonstrated with many computer simulations, regardless of the underlying model [28, 29, 33].”
- The fundamental diagram of pedestrian movement revisited (2005, background): “For instance we refer to passing maneuvers, internal friction, self-organization phenomena or ordering phenomena like the ‘zipper’ effect [26].”
- Experimental study of pedestrian counterflow in a corridor (2006, background): “A famous phenomenon in counterflow—but also in some other crowd movement— situations is lane formation [4, 8, 20].”
- From Crowd Dynamics to Crowd Safety: a Video-Based Analysis (2008, background): “Video-based studies of pedestrian flows have recently been carried out by other authors as well [20, 26, 37].”
- Comparison of Pedestrian Fundamental Diagram across Cultures (2009, background): “From the viewpoint of natural scientists pedestrian dynamics is interesting due to self-organization phenomena like the formation of lanes at bottlenecks [1] or in bidirectional flow.”
- Methods for measuring pedestrian density, flow, speed and direction with minimal scatter (2009, background): “The large progress in video techniques during recent years has made feasible the gathering of much more detailed data on pedestrian behavior, both in experiments and in real life situations, than was possible only a decade ago [15,20,21].”
- Experimental study of pedestrian flow through a bottleneck (2006, background): “yet. Appealing to the participants to go as fast as possible as group (i.e. minimize the total time) might help [42] to measure such a maximum, if it really exists. Sometimes it is claimed explicitly [9], sometimes assumed implicitly [45], that the flux is a step function of the bottleneck width. Thi”