Modifications of the Helbing-Molnár-Farkas-Vicsek Social Force Model for Pedestrian Evolution
By Taras I. Lakoba, D. Kaup, Neal M. Finkelstein. International Conference on Advances in System Simulation, 2005
452 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/733d64feefca276eeb4a412a1260f16af5ce7077
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
- Wolfram Klingsch
- Tobias Kretz
- Hubert Klüpfel
- Christian Rogsch
- Mark Pfeiffer
- Mubarak Shah
- Enric Galceran
In Ocean Engineering
- Armin Seyfried
- Mubarak Shah
- Wolfram Klingsch
- Andreas Schadschneider
- Alexis Oyama
- Ramin Mehran
- Tobias Kretz
- Hubert Klüpfel
In Safety, Risk, Reliability and Quality
Citations in the corpus
- Generalized centrifugal-force model for pedestrian dynamics. (2010, background): “Here strong overlapping of pedestrians [5, 6] or negative and high velocities [3, 8] occur which then has to be rectified by replacing the equation of motion (3) by other procedures.”
- Abnormal crowd behavior detection using social force model (2009, background): “Generalized social force model is the cornerstone for many studies in simulation of crowd behavior [14] [29][26] in addition to the studies in computer graphics [21][5][25] for creating realistic animations of the crowd.”
- Evacuation Dynamics: Empirical Results, Modeling and Applications (2008, background): “Only in the first publication [59] restrictions for the velocity are explicitly formulated to prevent velocities larger the the intended speed and other authors tried to improve the model by introducing more parameters [98].”
- Predicting actions to act predictably: Cooperative partial motion planning with maximum entropy models (2016, methodology): “This original model was later refined in [5] to yield more accurate predictions, also for simulations with isolated pedestrians.”