Social Force Model for Pedestrian Dynamics
Dirk Helbing,Péter Molnár +1 more
TLDR
Computer simulations of crowds of interacting pedestrians show that the social force model is capable of describing the self-organization of several observed collective effects of pedestrian behavior very realistically.Abstract:
It is suggested that the motion of pedestrians can be described as if they would be subject to ``social forces.'' These ``forces'' are not directly exerted by the pedestrians' personal environment, but they are a measure for the internal motivations of the individuals to perform certain actions (movements). The corresponding force concept is discussed in more detail and can also be applied to the description of other behaviors. In the presented model of pedestrian behavior several force terms are essential: first, a term describing the acceleration towards the desired velocity of motion; second, terms reflecting that a pedestrian keeps a certain distance from other pedestrians and borders; and third, a term modeling attractive effects. The resulting equations of motion of nonlinearly coupled Langevin equations. Computer simulations of crowds of interacting pedestrians show that the social force model is capable of describing the self-organization of several observed collective effects of pedestrian behavior very realistically.read more
Citations
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A modified social force model with different categories of pedestrians for subway station evacuation
TL;DR: The number of luggage-laden pedestrians is found to be the controllable factor that leads to an increase of the evacuation time at the evacuation bottlenecks, and solutions like warning signs at evacuation bott lenecks should be implemented.
Journal ArticleDOI
Predicting pedestrian flow: a methodology and a proof of concept based on real-life data.
Maria Davidich,Gerta Köster +1 more
TL;DR: The proposed approach significantly improves the reliability of the simulation and hence the potential prediction accuracy and the most sensitive parameters are: the source-target distribution of the pedestrian trajectories, the schedule of pedestrian appearances in the scenario and the mean free-flow velocity.
Journal ArticleDOI
Steady Beat Sound Facilitates both Coordinated Group Walking and Inter-Subject Neural Synchrony.
Shigeyuki Ikeda,Takayuki Nozawa,Ryoichi Yokoyama,Atsuko Miyazaki,Yukako Sasaki,Kohei Sakaki,Ryuta Kawashima +6 more
TL;DR: The increase of INS for walking suggested that the steady beat sound led to more harmonized inter-personal cognitive processes, which resulted in the more coordinated group motion.
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Parameter estimation of social forces in pedestrian dynamics models via a probabilistic method.
TL;DR: A Bayesian probabilistic method to estimate the value and the uncertainty of parameters in crowd dynamic models from the experimental data is presented and a fitness measure is introduced for the models to classify a couple of model structures according to their fitness to the experimentalData.
Journal ArticleDOI
Autonomous crowds tracking with box particle filtering and convolution particle filtering
TL;DR: The developed filters can cope with the measurement origin uncertainty in an elegant way, i.e. resolve the data association problem and are compared with the standard sequential importance resampling (SIR) PF.
References
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