Specification of the Social Force Pedestrian Model by Evolutionary Adjustment to Video Tracking Data
By Anders Johansson, Dirk Helbing, Pradyumn Kumar Shukla. Advances in Complex Systems, 2007
519 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Ocean Engineering, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/5860ecf94b333459f6a48509334c4049f4c7e044
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Armin Seyfried
- Dirk Helbing
- Andreas Schadschneider
- Anders Johansson
- Mehdi Moussaïd
- Guy Theraulaz
- Simon Garnier
- Jean Oh
In Ocean Engineering
- Armin Seyfried
- Dirk Helbing
- Mubarak Shah
- Andreas Schadschneider
- Mehdi Moussaïd
- Guy Theraulaz
- Anders Johansson
- Alexis Oyama
In Safety, Risk, Reliability and Quality
- Dirk Helbing
- Anders Johansson
- Jean Oh
- Christoph Sprunk
- Armin Seyfried
- Wolfram Burgard
- Andreas Schadschneider
- Henrik Kretzschmar
Citations in the corpus
- Density-aware person detection and tracking in crowds (2011, background): “repulsion from near-by agents due to the preservation of personal space and social grouping behavior [4], as well as the speed of an agent in the group [15].”
- Social Attention: Modeling Attention in Human Crowds (2017, background): “Subsequently, several approaches [11], [22] have extended the social forces model by fitting the parameters of the force functions to observed crowd behavior.”
- Abnormal crowd behavior detection using social force model (2009, background): “The ideal case for computing the social force is to track all objects in the crowd and estimate the parameters as in [4].”
- Pedestrian, Crowd and Evacuation Dynamics (2013, background): “Angular‐dependent shielding effects may be furthermore taken into account by a prefactor describing the anisotropic reaction to situations in front of as compared to behind a pedestrian (Helbing and Molnár 1995; Johansson et al. 2007); see section “Angular Dependence.”
- Socially compliant mobile robot navigation via inverse reinforcement learning (2016, methodology): “…human navigation behavior as a dynamical system in which a set of rules determines the agent’s immediate action given its current state in the environment (Helbing and Johansson, 2009; Helbing and Molnar, 1995; Johansson et al., 2007; Lerner et al., 2007; Müller et al., 2008; Warren, 2006).”
- The Walking Behaviour of Pedestrian Social Groups and Its Impact on Crowd Dynamics (2010, result): “Interactions f !wall i with the boundaries have been specified in agreement with previous findings [13], i.”
- Generalized centrifugal-force model for pedestrian dynamics. (2010, background): “Usually, the projection of the pedestrian’s shape to the twodimensional plane is modeled as a circle with a radius r [3, 7, 10].”