Centrifugal force model for pedestrian dynamics

Yu, Wenjian; Chen, R.; Dong, Liyun; Dai, Shun‐Dong

doi:10.1103/physreve.72.026112

Cited by 220 publications

(144 citation statements)

References 14 publications

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“…This model avoids oscillations since no forces are present. The Centrifugal Force Model [Yu et al 2005;] proposes a new expression for the repulsive force between pedestrians. Given two pedestrians α, ω, and their relative position p α,ω and speed v α,ω , the definition of the repulsive force is:…”

Section: Mechanics Based Modelsmentioning

confidence: 99%

Modeling, Evaluation, and Scale on Artificial Pedestrians

et al. 2017

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Modeling pedestrian dynamics and their implementation in a computer are challenging and important issues in the knowledge areas of transportation and computer simulation. The aim of this paper is to provide a bibliographic outlook so that the reader could have a quick access to the most relevant works related with this problem. We have used three main axes to organise the paper contents: pedestrian models, validation techniques and multiscale approaches. The backbone of the paper is the classification of existing pedestrian models; we have organised the works in the literature under five categories, according to the techniques used for implementing the operational level in each pedestrian model. Then, the main existing validation methods, oriented to evaluate the behavioural quality of the simulation systems, are reviewed. Furthermore, we review the key issues that arise when facing multiscale pedestrian modeling, where we firstly focus on the behavioural scale (combinations of micro and macro pedestrian models) and secondly, on the scale size (from individuals to crowds). The paper begins introducing the main characteristics of walking dynamics and its analysis tools and concludes with a discussion about the contributions that different knowledge fields can do in a near future to this exciting area.

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Section: Mechanics Based Modelsmentioning

confidence: 99%

Modeling, Evaluation, and Scale on Artificial Pedestrians

et al. 2017

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“…These models reproduce successfully a large set of collective phenomena involving pedestrians such as lane formation (Helbing & Molnar, 1995;Yu, et al, 2005), oscillations at bottle-necks (Helbing & Molnar, 1995), faster-is-slower effects (Parisi & Dorso, 2007;Helbing, et al, 2000;Lakoba, et al, 2005) and clogging at exit doors (Yu, et al, 2005). Different force-based models have mathematically formulated a more realistic behaviour by modifying the SFM by Helbing and Molnar (1995).…”

Section: Pedestrian-vehicular Mixed Traffic Modellingmentioning

confidence: 99%

Modelling shared space users via rule-based social force model

Anvari

Bell

Sivakumar

et al. 2015

Transportation Research Part C: Emerging Technologies

131

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The promotion of space sharing in order to raise the quality of community living and safety of street surroundings is increasingly accepted feature of modern urban design. In this context, the development of a shared space simulation tool is essential in helping determine whether particular shared space schemes are suitable alternatives to traditional street layouts. A simulation tool that enables urban designers to visualise pedestrians and cars trajectories, extract flow and density relation in a new shared space design, achieve solutions for optimal design features before implementation, and help getting the design closer to the system optimal. This paper presents a three-layered microscopic mathematical model which is capable of representing the behaviour of pedestrians and vehicles in shared space layouts and it is implemented in a traffic simulation tool. The top layer calculates route maps based on static obstacles in the environment. It plans the shortest path towards agents' respective destinations by generating one or more intermediate targets. In the second layer, the Social Force Model (SFM) is modified and extended for mixed traffic to produce feasible trajectories. Since car movements are not as flexible as pedestrian movements, velocity angle constraints are included for cars. The conflicts described in the third layer are resolved by rule-based constraints for shared space users. An optimisation algorithm is applied to determine the interaction parameters of the force-based model for shared space users using empirical data. This new three-layer microscopic model can be used to simulate shared space environments and assess, for example, new street designs.

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“…A particle-based model can describe the interaction or action intention among humans by introducing a physical force analogy to achieve regularity of motion with the aid of the mechanical theory model [32][33][34][35]. People are considered self-driving particles controlled by forces from the physical world, social psychology, and other aspects; thus, the impact of personnel behavior and the movement characteristics of panic can be simulated.…”

Section: Background and Motivationmentioning

confidence: 99%

A Dynamic Indoor Field Model for Emergency Evacuation Simulation

Xiong

Zhu

et al. 2017

IJGI

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Indoor emergency response plays a critically important role in disaster management for cities, which must consider the evacuation of people in a dynamic indoor environment. The spatial model is the foundation for the specific analysis of indoor emergency responses, such as evacuations. The current spatial model for evacuation has three primary pitfalls: (1) it primarily focuses on static spatial information, such as rooms, doors, and windows, and lacks dynamic information, such as events and sensors; (2) it mainly focuses on the horizontal space and the static scene and lacks a multi-story component that considers the different properties of stairs compared to planar areas; and (3) it places emphasis on the indoor navigation calculation with a 2D/3D network, which lacks individual properties that can support more complicated analysis, such as congestion and stagnation. In this paper, we propose a dynamic indoor field model with three typical characteristics.(1) It includes not only static information but also dynamic information, such as outdoor and indoor building geometry, sensors, fire spread, and personnel behavior. (2) It supports multi-story buildings from the macro level (building level and floor level) to the micro level (room level and individual level) based on horizontal and vertical indoor space. (3) It supports spatial calculations based on a three-dimensional space grid and can analyze potential congestion and stagnation during evacuation. We design a corresponding evacuation method that supports individual evacuation route finding and evacuation assessment. We perform a series of analyses of the applicability of the proposed model and the efficiency of the designed evacuation method based on multi-story evacuation studies. The simulation includes a total evacuation population exceeding 7000 individuals, and the analysis suggests that the new model and algorithm are effective in planning indoor emergency routes that avoid potential congestion or stagnation.

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Centrifugal force model for pedestrian dynamics

Cited by 220 publications

References 14 publications

Modeling, Evaluation, and Scale on Artificial Pedestrians

Modeling, Evaluation, and Scale on Artificial Pedestrians

Modelling shared space users via rule-based social force model

A Dynamic Indoor Field Model for Emergency Evacuation Simulation

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