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This study aims at finding a method for constructing molecular dynamics like models using the formalism of cellular automata for fast simulation of fluid dynamic systems (including compressible phenomena). In as much as the results…

comp-gas · 物理学 2009-09-25 Himanshu Agrawal

The simulation of pedestrian crowd that reflects reality is a major challenge for researches. Several crowd simulation models have been proposed such as cellular automata model, agent-based model, fluid dynamic model, etc. It is important…

多智能体系统 · 计算机科学 2017-08-15 Wonho Kang , Youngnam Han

Gliders in one-dimensional cellular automata are compact groups of non-quiescent and non-ether patterns (ether represents a periodic background) translating along automaton lattice. They are cellular-automaton analogous of localizations or…

元胞自动机与格子气 · 物理学 2011-05-24 Genaro J. Martinez , Andrew Adamatzky , Christopher R. Stephens , Alejandro F. Hoeflich

In the present work we introduce a stochastic cellular automata model in order to simulate the dynamics of the stock market. A direct percolation method is used to create a hierarchy of clusters of active traders on a two dimensional grid.…

无序系统与神经网络 · 物理学 2009-11-10 M. Bartolozzi , A. W. Thomas

We examine various realistic generalizations of the basic cellular automaton model describing traffic flow along a highway. In particular, we introduce a {\em slow-to-start} rule which simulates a possible delay before a car pulls away from…

凝聚态物理 · 物理学 2009-10-28 Simon C. Benjamin , Neil F. Johnson , P. M. Hui

Gravitational clustering of a random distribution of point masses is dominated by the effective short-range interactions due to large-scale isotropy. We introduce a one-dimensional cellular automaton to reproduce this effect in the most…

凝聚态物理 · 物理学 2009-11-07 Roya Mohayaee , Luciano Pietronero

The simulation of vehicular traffic as well as pedestrian dynamics meanwhile both have a decades long history. The success of this conference series, PED and others show that the interest in these topics is still strongly increasing. This…

多智能体系统 · 计算机科学 2009-11-17 Cornelia Boenisch , Tobias Kretz

Number-conserving cellular automata are discrete dynamical systems that simulate interacting particles like e.g. grains of sand. In an earlier paper, I had already derived a uniform construction for all transition rules of one-dimensional…

元胞自动机与格子气 · 物理学 2025-06-02 Markus Redeker

We analyze the structure and dynamics in the low-density phase of the deterministic two-dimensional cellular automaton model of traffic flow introduced in [O. Biham, A.A. Middleton and D. Levine, Phys. Rev. A 46, R6124 (1992)]. The model…

元胞自动机与格子气 · 物理学 2026-02-03 Gilad Hertzberg Rabinovich , Ofer Biham , Eytan Katzav

In this paper, we propose a stochastic cellular automaton model of traffic flow extending two exactly solvable stochastic models, i.e., the asymmetric simple exclusion process and the zero range process. Moreover it is regarded as a…

统计力学 · 物理学 2009-05-26 Masahiro Kanai , Katsuhiro Nishinari , Tetsuji Tokihiro

In this paper we study the dynamics of 1- and 2- dimensional cellular automata, using a 2-adic representation of the states, we give a simple graphical technique for finding periodic solutions. We also study the continuity properties of the…

元胞自动机与格子气 · 物理学 2007-07-06 Xu Xu , Yi Song , Stephen P. Banks

To provide a more accurate description of the driving behaviors in vehicle queues, a namely Markov-Gap cellular automata model is proposed in this paper. It views the variation of the gap between two consequent vehicles as a Markov process…

数据分析、统计与概率 · 物理学 2009-04-23 Fa Wang , Li Li , Jianming Hu , Yan Ji , Danya Yao , Yi Zhang , Xuexiang Jin , Yuelong Su , Zheng Wei

Based on recent experiments with time-lapse fluorescent imaging, we propose a cellular automaton model for the dynamics of vascular endothelial cells (ECs) in angiogenic morphogenesis. The model successfully reproduces cell mixing behavior,…

元胞自动机与格子气 · 物理学 2015-07-22 Keisuke Matsuya , Hiroki Kurihara , Tetsuji Tokihiro

In this paper, we present a computational modeling approach for the dynamics of human crowds, where the spreading of an emotion (specifically fear) has an influence on the pedestrians' behavior. Our approach is based on the methods of the…

物理与社会 · 物理学 2021-02-19 Daewa Kim , Kaylie O'Connell , William Ott , Annalisa Quaini

Microscopic traffic models have recently gained considerable importance as a mean of optimising traffic control strategies. Computationally efficient and sufficiently accurate microscopic traffic models have been developed based on the…

离散数学 · 计算机科学 2012-04-10 Bartłomiej Płaczek

To minimize property loss and death count in terror attacks and other emergent scenarios, attention given to timely and effective evacuation cannot be enough. Due to limited evacuation resource, i.e., number of available exits, there exists…

多智能体系统 · 计算机科学 2022-04-20 Zhiguo Zhou , Huiyu Cai , Zhixuan Zhou

We explore some aspects of phase transitions in cellular automata. We start recalling the standard formulation of statistical mechanics of discrete systems (Ising model), illustrating the Monte Carlo approach as Markov chains and stochastic…

统计力学 · 物理学 2023-12-05 Franco Bagnoli , Raul Rechtman

We Propose A Novel Automaton Model which uses Arithmetic Operations as the Evolving Rules, each cell has the states of the Natural Numbers k = (N), a radius of r = 1/2 and operates on an arbitrary input size. The Automaton reads an…

形式语言与自动机理论 · 计算机科学 2017-05-18 Abdulrhman Elnekiti

In shared spaces, motorized and non-motorized road users share the same space with equal priority. Their movements are not regulated by traffic rules, hence they interact more frequently to negotiate priority over the shared space. To…

人工智能 · 计算机科学 2021-07-06 Fatema T. Johora , Jörg P. Müller

Dense human flow has been a concern for the safety of public events for a long time. Macroscopic pedestrian models, which are mainly based on fluid dynamics, are often used to simulate huge crowds due to their low computational costs.…

计算工程、金融与科学 · 计算机科学 2016-01-25 Quirin Aumann , Carlos M. Osorio , Celeste Lai