scispace - formally typeset
Open AccessJournal ArticleDOI

Social Force Model for Pedestrian Dynamics

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

Where to go Next: Learning a Subgoal Recommendation Policy for Navigation in Dynamic Environments

TL;DR: In this paper, an interaction-aware policy that provides long-term guidance to the local planner is proposed. But the policy is not directly observable and the environment conditions are continuously changing, which is not trivial to obtain in crowded scenarios.
Journal ArticleDOI

Modeling and simulation of pedestrian behaviors in crowded places

TL;DR: This model aims to generate human-like pedestrian behaviors such as overtaking, waiting, side-stepping and lane-forming in a crowded area, and is able to navigate through complex environment, given an abstract map of the environment.
Journal ArticleDOI

Coherent Pattern Prediction in Swarms of Delay-Coupled Agents

TL;DR: A general swarm model of self-propelling agents interacting through a pairwise potential in the presence of noise and communication time delay shows that for sufficiently large values of the coupling strength and/or the time delay, there is a noise intensity threshold that forces a transition of the swarm from a misaligned state into an aligned state.
Proceedings Article

Formation sketching: an approach to stylize groups in crowd simulation

TL;DR: This paper presents an intuitive yet efficient approach to generate arbitrary and precise group formations by sketching formation boundaries that can automatically compute the desired position of each agent in the target formation and generate the agent correspondences between keyframes.
Journal ArticleDOI

Advantages of hopping on a zig-zag course

TL;DR: It is shown that bounded distribution of food in patches will be optimally consumed by the objects if they hop preferably with a given angle and not straight forwardly.
References
More filters
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.
Related Papers (5)