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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

A hybrid multi-scale approach for simulation of pedestrian dynamics

TL;DR: A new hybrid multi-scale model, which closely links information between the small-scale and large-scale navigation layer to improve the navigational behaviour, is proposed, which reflects the human cognitive processes triggered by wayfinding tasks.
Proceedings ArticleDOI

Real-time reciprocal collision avoidance with elliptical agents

TL;DR: This work extends the reciprocal velocity obstacle formulation by using conservative linear approximations of ellipses and derive sufficient conditions for collision-free motion based on low-dimensional linear programming to provide significant speedups over prior algorithms for elliptical agents.
Proceedings ArticleDOI

Collaborative Motion Prediction via Neural Motion Message Passing

TL;DR: This work proposes neural motion message passing (NMMP) to explicitly model the interaction and learn representations for directed interactions between actors, and designs the motion prediction systems for two settings: the pedestrian setting and the joint pedestrian and vehicle setting.
Journal ArticleDOI

IFC-centric performance-based evaluation of building evacuations using fire dynamics simulation and agent-based modeling

TL;DR: The results of the implementation show that the EvacuSafe is a valuable tool for evacuation design and planning that provides a more comprehensive evaluation of the evacuation performance in comparison to the existing indices and safety measures in the industry.
Journal ArticleDOI

New insights into discretization effects in cellular automata models for pedestrian evacuation

TL;DR: A cellular automata model with finer discretization of space and higher walking velocities more than one cell is developed for the validation and calibration of microscopic pedestrian models with discrete space representation, further narrowing the gap between these models’ theory and their application to engineering.
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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