Modeling of shared space with multi-modal traffic using a multi-layer social force approach
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TLDR
The fundamentals for a micro-simulation tool based on the Social Force Model are developed, to represent the motion of road users in such layouts, in which each layer is designated to handle different situations, from free-flow movements to user interactions in crowded situations.Citations
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A multi-layer social force approach to model interactions in shared spaces using collision prediction
TL;DR: A multi-layer approach for representing the movement of road users and their interaction, based on the Social Force Model, is developed and shows realistic behavior in different traffic situations involving cyclists, pedestrians and pedestrian groups.
Journal ArticleDOI
A two-dimensional simulation model for modelling turning vehicles at mixed-flow intersections
Zian Ma,Jian Sun,Yunpeng Wang +2 more
TL;DR: A three-layered “plan-decision-action” (PDA) framework to obtain acceleration and angular velocity in the turning process is proposed and tested by reproducing 210 trajectories of left-turn vehicles at a two-phase mixed-flow intersection in Shanghai.
Journal ArticleDOI
Calibrating a social force based model for simulating personal mobility vehicles and pedestrian mixed traffic
TL;DR: It is suggested that, with proper calibration, the social force model can potentially be used to simulate Segway-like PMVs and pedestrian mixed traffic.
Proceedings ArticleDOI
Modeling Interactions of Multimodal Road Users in Shared Spaces
Fatema T. Johora,Jörg P. Müller +1 more
TL;DR: The proposed model consists of three layers: a layer to plan trajectories of road users; a force-based modeling layer to reproduce free flow movement and simple interactions; and a game-theoretic decision layer to handle complex situations where road users need to make a decision over different alternatives.
Journal ArticleDOI
Two-Dimensional Simulation of Turning Behavior in Potential Conflict Area of Mixed-Flow Intersections
TL;DR: This study integrates the modified social force model with behavior decision and movement constraints to reproduce the two‐dimensional turning process, resulting in a more realistic simulation than previous methods.
References
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Journal ArticleDOI
Social Force Model for Pedestrian Dynamics
Dirk Helbing,Péter Molnár +1 more
TL;DR: 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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Simulating dynamical features of escape panic
TL;DR: A model of pedestrian behaviour is used to investigate the mechanisms of panic and jamming by uncoordinated motion in crowds, and an optimal strategy for escape from a smoke-filled room is found, involving a mixture of individualistic behaviour and collective ‘herding’ instinct.
Journal ArticleDOI
Algorithms for the reduction of the number of points required to represent a digitized line or its caricature
TL;DR: In this paper, two algorithms to reduce the number of points required to represent the line and, if desired, produce caricatures are presented and compared with the most promising methods so far suggested.
Journal ArticleDOI
An Iterative Procedure for the Polygonal Approximation of Plane Curves
TL;DR: An approximation algorithm is presented which uses an iterative method to produce polygons with a small—but not minimum—number of vertices that lie on the given curve that justifies the abandonment of the minimum-vertices criterion.
Journal ArticleDOI
Specification of the social force pedestrian model by evolutionary adjustment to video tracking data
TL;DR: Based on suitable video recordings of interactive pedestrian motion and improved tracking software, the authors apply an evolutionary optimization algorithm to determine optimal parameter specifications for the social force model, which is then used for large-scale pedestrian simulations of evacuation scenarios, pilgrimage, and urban environments.