A MULTISCALE CELLULAR AUTOMATA MODEL FOR SIMULATING COMPLEX TRANSPORTATION SYSTEMS

2006 ◽  
Vol 17 (10) ◽  
pp. 1437-1459 ◽  
Author(s):  
PAWEŁ TOPA ◽  
WITOLD DZWINEL ◽  
DAVID A. YUEN
Keyword(s):  
Numerical Model ◽  
Cellular Automata ◽  
General Framework ◽  
Transportation Network ◽  
Transportation Systems ◽  
River Systems ◽  
Temporal Scales ◽  
Cellular Automata Model ◽  
Reverse Situation ◽  
Spatio Temporal

We present a new two-level numerical model describing the evolution of transportation network. Two separate but mutually interacting sub-systems are investigated: a starving environment and the network. We assume that the slow modes of the environment growth can be modeled with classical cellular automata (CA) approach. The fast modes representing the transportation network, we approximate by the graph of cellular automata (GCA). This allows the simulation of transportation systems over larger spatio-temporal scales and scrutinizing global interactions between the network and the environment. We show that the model can mimic the realistic evolution of complex river systems. We also demonstrate how the model can simulate a reverse situation. We conclude that the paradigm of this model can be extended further to a general framework, approximating many realistic multiscale transportation systems in diverse fields such as geology, biology and medicine.

scholarly journals Numerical model of the nanoindentation test based on the digital material representation of the Ti/TiN multilayers

2015 ◽  
Vol 33 (2) ◽  
pp. 348-355 ◽  
Author(s):  
Konrad Perzyński ◽  
Radosław Wiatr ◽  
Łukasz Madej
Keyword(s):  
Finite Element ◽  
Numerical Model ◽  
Cellular Automata ◽  
Pulsed Laser ◽  
Laser Deposition ◽  
Nanoindentation Test ◽  
Cellular Automata Model ◽  
Finite Element Software ◽  
Specific Morphology ◽  
Digital Material

AbstractThe developed numerical model of a local nanoindentation test, based on the digital material representation (DMR) concept, has been presented within the paper. First, an efficient algorithm describing the pulsed laser deposition (PLD) process was proposed to realistically recreate the specific morphology of a nanolayered material in an explicit manner. The nanolayered Ti/TiN composite was selected for the investigation. Details of the developed cellular automata model of the PLD process were presented and discussed. Then, the Ti/TiN DMR was incorporated into the finite element software and numerical model of the nanoindentation test was established. Finally, examples of obtained results presenting capabilities of the proposed approach were highlighted.

Exploring the performance of spatio-temporal assimilation in an urban cellular automata model

2017 ◽  
Vol 31 (11) ◽  
pp. 2195-2215 ◽  
Author(s):  
Xuecao Li ◽  
Hui Lu ◽  
Yuyu Zhou ◽  
Tengyun Hu ◽  
Lu Liang ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Cellular Automata Model ◽  
Spatio Temporal

scholarly journals A mechanistic model of the S-shaped population growth

2014 ◽  
Author(s):  
Lev V. Kalmykov
Keyword(s):  
Cellular Automata ◽  
Population Growth ◽  
Interspecific Competition ◽  
Competitive Exclusion ◽  
Mechanistic Model ◽  
Main Idea ◽  
Exclusion Principle ◽  
Cellular Automata Model ◽  
Competitive Exclusion Principle ◽  
Spatio Temporal

The main idea of this note is to show the most basic and purely mechanistic model of population growth, which has been used by us to create models of interspecific competition for verification of the competitive exclusion principle (1, 2). Our logical deterministic individual-based cellular automata model demonstrates a spatio-temporal mechanism of the S-shaped population growth.

scholarly journals Spatio-temporal organization of vehicles in a cellular automata model of traffic with `slow-to-start' rule

1999 ◽  
Vol 32 (18) ◽  
pp. 3229-3252 ◽  
Author(s):  
Debashish Chowdhury ◽  
Ludger Santen ◽  
Andreas Schadschneider ◽  
Shishir Sinha ◽  
Abhay Pasupathy
Keyword(s):  
Cellular Automata ◽  
Temporal Organization ◽  
Cellular Automata Model ◽  
Spatio Temporal

A novel cellular automata model integrated with deep learning for dynamic spatio-temporal land use change simulation

2020 ◽  
Vol 137 ◽  
pp. 104430 ◽  
Author(s):  
Weiran Xing ◽  
Yuehui Qian ◽  
Xuefeng Guan ◽  
Tingting Yang ◽  
Huayi Wu
Keyword(s):  
Land Use ◽  
Deep Learning ◽  
Cellular Automata ◽  
Land Use Change ◽  
Cellular Automata Model ◽  
Spatio Temporal

Delay propagation cellular automata model based on max-plus algebra for robustness evaluations of non-periodic train operation plans

2020 ◽  
Vol 34 (21) ◽  
pp. 2050213
Author(s):  
Wen-Jun Li ◽  
Xiao Feng
Keyword(s):  
Cellular Automata ◽  
High Speed ◽  
Simulation Analysis ◽  
Discrete Event ◽  
Transportation Systems ◽  
Railway Transportation ◽  
Cellular Automata Model ◽  
Delay Propagation ◽  
Train Operation ◽  
Event Dynamic

Based on discrete-event dynamic system theory, train operation events in high-speed railway transportation systems are regarded as the basic elements of these dynamic systems. For non-periodic timetable railways in China, based on a max-plus algebra method, a delay propagation cellular automata model is proposed to evaluate the robustness of high-speed train operation plans. The cellular automata evolution rules that can reproduce the delay propagation state of trains mainly consider train safety headway constraints, passenger transfer constraints, and electric multiple unit (EMU) connection constraints. A simulation analysis of actual cases is performed. The simulation results show that the model can be used to evaluate the robustness of the train operation plan. The numerical results show that in the preparation of train operation plans, the proposed model can predict which trains have significant influences on delays in advance and improve the possibility of reducing the occurrence of delays to maintain high-quality service.

scholarly journals Modeling spatio-temporal distribution of soil moisture by deep learning-based cellular automata model

2016 ◽  
Vol 8 (5) ◽  
pp. 734-748 ◽  
Author(s):  
Xiaodong Song ◽  
Ganlin Zhang ◽  
Feng Liu ◽  
Decheng Li ◽  
Yuguo Zhao ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Deep Learning ◽  
Cellular Automata ◽  
Temporal Distribution ◽  
Cellular Automata Model ◽  
Spatio Temporal

A Cellular Automata Model for Nitriding of Nanocrystalline Iron

2015 ◽  
Author(s):  
Jingyi Zhao ◽  
G.-X. Wang ◽  
Yalin Dong ◽  
Chang Ye
Keyword(s):  
Experimental Data ◽  
Numerical Model ◽  
Cellular Automata ◽  
Grain Boundaries ◽  
Nitriding Process ◽  
Nitrogen Diffusion ◽  
Cellular Automata Model ◽  
Grain Sizes ◽  
Nanocrystalline Iron ◽  
Ca Model

In this study, a numerical model was developed to investigate the effects of grain refinement on the efficiency of nitrogen diffusion during the nitriding process. A cellular automata (CA) model without considering the effects of grain boundaries was built to simulate the nitriding process. The results from the numerical model were compared and validated by experimental data in the literature. Then, nanoscale grain boundaries were integrated into this CA model. The nitriding efficiency in materials with different grain sizes was investigated. The results demonstrate that nanocrystallization can significantly increase the nitrogen diffusion efficiency and thus make low temperature (300°C) nitriding possible.

scholarly journals GoZone: A Numerical Model for Travelling Fires Based on Cellular Automata Concept

2021 ◽  
Vol 11 (22) ◽  
pp. 10679
Author(s):  
Antonio Gamba ◽  
Jean-Marc Franssen
Keyword(s):  
Numerical Model ◽  
Cellular Automata ◽  
Fire Test ◽  
Complex Dynamics ◽  
Zone Model ◽  
Gas Temperature ◽  
Spread Rate ◽  
Fire Dynamics ◽  
Cellular Automata Model ◽  
Practical Solution

Fires in large compartments tend to burn locally and to move across the floor over a period of time; this particular behaviour has been discovered to challenge the assumption of uniform gas temperature in the fire compartment. Recent studies on fires in large compartments have led to the now widely known concept of “travelling fires”. Several models have been proposed to describe the evolution in time of travelling fires. Although these models represented an innovative step in the field of travelling fires, the major drawbacks of these models can be found in the simplification of fire dynamics (constant spread rate, 1D imposed fire path) and limited field of application (rectangular based geometries). The purpose of this paper is to present a numerical model of travelling fire. The model was based on an improved zone model combined with a cellular automata model. The software GoZone, in which the model was implemented, is intended to be a practical solution to analyse fires in large compartments of potentially any shape. GoZone is aimed to describe the complex dynamics of the fire from ignition to a phase of growing localised fire that may eventually travel in the compartment, possibly followed by a flashover. The main sub models comprising GoZone are presented. A comparison is given with the results of under ventilated fire test 2 of the BST/FSR 1993 test series and with respect to the Veselì travelling fire test is shown. GoZone shows a promising capacity to represent fires in a large compartment in both air and fuel controlled fire conditions.

Sign in / Sign up

Export Citation Format

Share Document