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
Journal ArticleDOI
Robot navigation in dense human crowds: Statistical models and experimental studies of human-robot cooperation
TL;DR: It is concluded that a cooperation model is critical for safe and efficient robot navigation in dense human crowds and the salient characteristics of nearly any dynamic navigation algorithm.
Journal ArticleDOI
Cellular automata microsimulation of bidirectional pedestrian flows
Victor J. Blue,Jeffrey L. Adler +1 more
TL;DR: A CA microsimulation model and emergent fundamental flows for a bidirectional pedestrian walkway are presented and Simulation experiments indicate that the basic model is applicable to walkways of various lengths and widths and across different directional shares of pedestrian movements.
Proceedings ArticleDOI
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs
Boris Ivanovic,Marco Pavone +1 more
TL;DR: The Trajectron as mentioned in this paper is a graph-structured model that predicts many potential future trajectories of multiple agents simultaneously in both highly dynamic and multimodal scenarios (i.e., where the number of agents in the scene is time-varying and there are many possible highly-distinct futures for each agent).
Journal ArticleDOI
Experimental study of pedestrian counterflow in a corridor
TL;DR: In this article, the results of a pedestrian counterflow experiment in a corridor of width 2 meters are presented, where 67 participants were divided into two groups with varying relative and absolute size and walked in opposite directions through a corridor.
Proceedings ArticleDOI
PLEdestrians: a least-effort approach to crowd simulation
TL;DR: This work uses an optimization method to compute a biomechanically energy-efficient, collision-free trajectory that minimizes the amount of effort for each heterogeneous agent in a large crowd, and can automatically generate many emergent phenomena such as lane formation, crowd compression, edge and wake effects ant others.
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.