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Open AccessJournal ArticleDOI

Social Force Model for Pedestrian Dynamics

Dirk Helbing, +1 more
- 01 May 1995 - 
- Vol. 51, Iss: 5, pp 4282-4286
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.

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Citations
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Journal ArticleDOI

Irreversibility, heat and information flows induced by non-reciprocal interactions

TL;DR: In this paper, the authors study the thermodynamic properties induced by non-reciprocally coupled interactions between stochastic degrees of freedom in time and space-continuous systems.
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Observation results on pedestrian-vehicle interactions at non-signalized intersections towards simulation

TL;DR: The research supports the development of a microscopic agent-based tool for simulating pedestrian-vehicle interactions at non-signalized crosswalks and showed that crossing behaviour is characterized by three main phases: approaching, appraising and crossing.
Journal ArticleDOI

Activity analysis in crowded environments using social cues for group discovery and human interaction modeling

TL;DR: A graph based algorithm with social cues to discover interacting groups and a novel descriptor to recognize group activity in top-down approach that outperforms state-of-the-art methods for group discovery and achieves recognition rates comparable to state of the art methods forgroup activity recognition.
Journal ArticleDOI

Handling obstacles in pedestrian simulations: Models and optimization

TL;DR: A complex optimization problem by means of the Particle Swarm Optimization method is solved in order to exploit the so-called Braess’s paradox and reduce the evacuation time from a room by adding in the walking area multiple obstacles optimally placed and shaped.
Journal ArticleDOI

An improved version of the Hughes model for pedestrian flow

TL;DR: A modification of the Hughes model to include local effects, namely limited vision, and a conviction towards decision making, is presented, which enables smooth turning and temporary waiting behavior.
References
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Book

Field theory in social science

Kurt Lewin
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.
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