Social Force Model for Pedestrian Dynamics
Dirk Helbing,Péter Molnár +1 more
Reads0
Chats0
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
More filters
Network analysis of a tourism destination
TL;DR: In this paper, a tourism destination is analyzed as a dynamic evolving complex system with the series of techniques and methods drawn from the area of network analysis, and the authors apply methods and techniques of so-called network science in order to study the evolution of the destination system and to simulate dynamic processes such as information and knowledge diffusion, and efficiency optimisation.
Posted Content
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting.
TL;DR: LaneRCNN as mentioned in this paper learns a local lane graph representation per actor to encode its past motions and the local map topology, and further develops an interaction module which permits efficient message passing among local graph representations within a shared global lane graph.
Journal ArticleDOI
Qualitative simulation of the panic spread in large-scale evacuation
TL;DR: This model reproduces a well-known phenomenon in crowd evacuation, namely “fast is slow”, and confirms that the severity of disaster exponentially positively correlates with the panic spread, and the effectiveness of rescue guidance is influenced by the leading emotion in the crowds as a whole.
Journal ArticleDOI
Mild solutions to a measure-valued mass evolution problem with flux boundary conditions
TL;DR: In this article, the authors investigated the well-posedness and approximation of mild solutions to a class of linear transport equations on the unit interval [ 0, 1 ] endowed with a linear discontinuous production term, formulated in the space M ( [ 0, 1 ] ) of finite Borel measures.
Journal ArticleDOI
Deciphering the crowd: modeling and identification of pedestrian group motion.
TL;DR: This paper identifies social groups based on explicit motion models integrated through a hypothesis testing scheme using two models relating positional and directional relations and proposes a proposed uncertainty measure based on the local and global indicators of group relation.
References
More filters
Book
Kinetic theory of vehicular traffic
TL;DR: A theory of multi-LANE traffic flow and the space-time evolution of thevelocity distribution of cars are examined to help understand the role of driver behaviour and strategy in this network.
Journal ArticleDOI
Improved fluid-dynamic model for vehicular traffic.
TL;DR: The fluid-dynamic traffic model of Kerner and Konh\"auser is extended by an equation for the vehicles' velocity variance, able to describe the observed increase of velocity variance immediately before a traffic jam develops.