Simulation of Human Behavior as an Auxiliary Design Tool

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21450%2F23%3A00370745" target="_blank" >RIV/68407700:21450/23:00370745 - isvavai.cz</a>

Výsledek na webu

<a href="http://dare-conf.eu/publication/DARe2023-book.pdf" target="_blank" >http://dare-conf.eu/publication/DARe2023-book.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Simulation of Human Behavior as an Auxiliary Design Tool

Popis výsledku v původním jazyce

This review paper summarises the current state of digital simulation methods used to analyse human behaviour in physical environments. It aims to identify why digital simulations of human behaviour are not yet commonly used by architects and urban planners and to provide a systematic review of available methods, software tools, their capabilities and limitations. It covers physical models, Space Syntax, virtual reality and dynamic simulation methods for pedestrian and occupant models. There are a number of most common decision-making processes for pedestrian and occupant models. Rule-based process involves predetermined rules or heuristics. Markov Chain uses probabilities and the current state to determine state transition. Goal Oriented Action Planning chains predefined activities to achieve a specified goal. In Narrative-based modelling a narrative governs agent behaviour. In Game-theoretic approach interactions are modelled as a game. Reinforcement Learning involves learning through rewards or punishments and Artificial Neural Networks learn from data and make predictions based on that learning. Although Artificial Neural Networks come with many benefits, such as high flexibility and the ability to handle uncertain and incomplete data, it is a relatively new field of research and it requires significant computational resources. Each process has its own strengths and limitations. Multiple algorithms or decision-making processes can be combined to achieve the desired simulation properties. There are multiple digital simulation software tools for pedestrian and occupant simulations. Some of them, such as SUMO, Aimsun, and MATSim, are optimised for transportation simulations but are not suitable to become auxiliary tools in the architectural design process. PathFinder is a software for simulating evacuation scenarios. Anylogic is a flexible user-friendly tool suitable for a wider range of applications. Tools like IES and CitySim are used for building performance optimisation. A game engine Unity is a suitable option for creating interactive and visually appealing models, however it requires programming knowledge. A simulation in a 3D environment is more complex and requires more computational resources, but it can bring more realistic results compared to simulations in 2D. The paper concludes with discussion about the reasons why digital simulation has yet not become a common tool in architectural practice.

Název v anglickém jazyce

Simulation of Human Behavior as an Auxiliary Design Tool

Popis výsledku anglicky

This review paper summarises the current state of digital simulation methods used to analyse human behaviour in physical environments. It aims to identify why digital simulations of human behaviour are not yet commonly used by architects and urban planners and to provide a systematic review of available methods, software tools, their capabilities and limitations. It covers physical models, Space Syntax, virtual reality and dynamic simulation methods for pedestrian and occupant models. There are a number of most common decision-making processes for pedestrian and occupant models. Rule-based process involves predetermined rules or heuristics. Markov Chain uses probabilities and the current state to determine state transition. Goal Oriented Action Planning chains predefined activities to achieve a specified goal. In Narrative-based modelling a narrative governs agent behaviour. In Game-theoretic approach interactions are modelled as a game. Reinforcement Learning involves learning through rewards or punishments and Artificial Neural Networks learn from data and make predictions based on that learning. Although Artificial Neural Networks come with many benefits, such as high flexibility and the ability to handle uncertain and incomplete data, it is a relatively new field of research and it requires significant computational resources. Each process has its own strengths and limitations. Multiple algorithms or decision-making processes can be combined to achieve the desired simulation properties. There are multiple digital simulation software tools for pedestrian and occupant simulations. Some of them, such as SUMO, Aimsun, and MATSim, are optimised for transportation simulations but are not suitable to become auxiliary tools in the architectural design process. PathFinder is a software for simulating evacuation scenarios. Anylogic is a flexible user-friendly tool suitable for a wider range of applications. Tools like IES and CitySim are used for building performance optimisation. A game engine Unity is a suitable option for creating interactive and visually appealing models, however it requires programming knowledge. A simulation in a 3D environment is more complex and requires more computational resources, but it can bring more realistic results compared to simulations in 2D. The paper concludes with discussion about the reasons why digital simulation has yet not become a common tool in architectural practice.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20103 - Architecture engineering

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Digital Architectural Research - DARe

ISBN

978-83-67185-54-7

ISSN

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e-ISSN

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Počet stran výsledku

19

Strana od-do

225-243

Název nakladatele

Bialystok University of Technology Publishing Office

Místo vydání

Białystok

Místo konání akce

Bialystok

Datum konání akce

1. 3. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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