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
Modeling Groups of Pedestrians in Least Effort Crowd Movements
TL;DR: This paper presents a variation of least effort cellular automata algorithm which also considers the effect of pedestrian groups on crowd movement and has been used in small scale movement layer of the multi-agent crowd simulation platform in order to allow more realistic simulations of crowd flows.
Journal ArticleDOI
A review of motion analysis methods for human Nonverbal Communication Computing
TL;DR: The concept and applications of Nonverbal Communication Computing are introduced and some of the motion analysis methods employed in this area are reviewed, which include face tracking, expression recognition, body reconstruction, and group activity analysis.
Journal ArticleDOI
Social dynamics in emergency evacuations: Disentangling crowd’s attraction and repulsion effects
Milad Haghani,Majid Sarvi +1 more
TL;DR: It is shown based on robust econometric hypothesis-testing methods that individuals’ perception of other escapees differs based on whether those individuals are jamming around exit destinations or are on the move towards the destinations.
Book ChapterDOI
Crowd Tracking with Dynamic Evolution of Group Structures
TL;DR: This paper proposes to discover distinctive and stable mid-level patches and track them jointly with dynamic evolution of group structures through the integration of low-level keypoint tracking, mid- level patch tracking, and high-level group evolution.
Journal ArticleDOI
Two-way multi-lane traffic model for pedestrians in corridors
TL;DR: The Aw-Rascle macroscopic model of car traffic is extended into a two-way multi-lane model of pedestrian traffic and a technique for the handling of the congestion constraint is proposed, i.e. the fact that the pedestrian density cannot exceed a maximal density corresponding to contact between pedestrians is proposed.
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.