Social Force Model for Pedestrian Dynamics
Dirk Helbing,Péter Molnár +1 more
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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
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Accommodating taste heterogeneity and desired substitution pattern in exit choices of pedestrian crowd evacuees using a mixed nested logit model
TL;DR: In this article, a mixed nested logit model was used to model the choice of exit for evacuees in the context of choosing a building's exit in an interview with the occupants.
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Vision-based macroscopic pedestrian models
TL;DR: In this paper, a hierarchy of kinetic and macroscopic models for a system consisting of a large number of interacting pedestrians is proposed, where the basic interaction rules are derived from earlier work where the dangerousness level of an interaction with another pedestrian is measured in terms of the derivative of the bearing angle (angle between the walking direction and the line connecting the two subjects) and of the time-to-interaction.
Proceedings ArticleDOI
Looking to Relations for Future Trajectory Forecast
Chiho Choi,Behzad Dariush +1 more
TL;DR: A relation-aware framework for future trajectory forecast that constructs pair-wise relations from spatio-temporal interactions and identifies more descriptive relations that highly influence future motion of the target road user by considering its past trajectory is proposed.
Journal ArticleDOI
Vision-based macroscopic pedestrian models
TL;DR: In this article, a hierarchy of kinetic and macroscopic models for a system consisting of a large number of interacting pedestrians is proposed, where the basic interaction rules are derived from [44] where the dangerousness level of an interaction with another pedestrian is measured in terms of the derivative of the bearing angle (angle between the walking direction and the line connecting the two subjects) and of the time-to-interaction.
Journal ArticleDOI
Fluctuations around mean walking behaviors in diluted pedestrian flows.
TL;DR: A model for the dynamics of undisturbed pedestrians, based on stochastic differential equations, is proposed that provides a good agreement with field observations, including the occurrence of rare events.
References
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