Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	caadria2021_157
id	caadria2021_157
authors	Huang, Xiaoran, Kimm, Geoff and Burry, Mark
year	2021
title	Exploiting game development environments for responsive urban design by non-programmers - melding real-time ABM pedestrian simulation and form modelling in Unity 3D
doi	https://doi.org/10.52842/conf.caadria.2021.2.689
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 689-698
summary	Precinct-level pedestrian simulation often requires moderate to high-level modelling skills with a steep learning curve, and is usually non-flexible, time-consuming and exclusive of the broader public community. Confronting these problems, our research investigates a novel and agile workflow to test precinct pedestrian behaviours by melding agent-based simulation (ABM) and responsive real-time form modelling mechanisms within accessible visualisation of city and precinct environments in a game engine, Unity 3D. We designed an agent system prototype of configurable and interoperable nodes that may be placed in an urban modelling scenario. Realtime CSG, a fast polygon-based modelling plugin, is also introduced to our workflow where users can use the evidence observed when running a scenario to quickly adjust the street morphology and buildings in response. In this process, end users are kept in the design loop and may make critical adjustments, whereby a responsive, collective, informed design agenda for our built environments can inform more detailed outcomes of pedestrian behaviour and action and promote more efficient collaborations for both professionals and local communities.
keywords	Agent-based pedestrian simulation; responsive modelling; computer-aided urban design; public participation
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	acadia23_v3_189
id	acadia23_v3_189
authors	Leung, Pok Yin Victor; Huang, Yijiang
year	2023
title	Task and Motion Planning for Robotic Assembly
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 3: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-1-0]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 24-32.
summary	When programming robotic assembly processes, it is often necessary to create a sequential list of actions. Some actions are robotic motions (requiring motion trajectory), and some are for controlling external equipment, such as grippers and fastening tools. The act of planning these actions and motion trajectories is called Task Planning and Motion Planning. Existing literature in robotics explored many different planning algorithms for planning a single trajectory to planning a complete sequence of tasks where continuity is maintained [Garrett et al, 2021]. Many application literature focused on the TAMP for service robots, medical robots, and self-driving cars, while there are few examples for architectural applications. For digital fabrication and automated construction, the planning method has to be adapted to the needs of architectural assemblies and the scale of construction [Leung et al, 2021]. Some of the unique challenges are the highly bespoke workpiece and assembly geometry, the large workpiece (e.g., long beams), and a dense collision environment. This three-day hybrid workshop addressed the needs of the architectural robotics community to use industrial robotic arms to assemble highly bespoke objects. The objects do not have any repetitive parts or assembly targets. The workshop leaders shared their experiences using industrial robots to construct large-scale timber structures. One of the most useful techniques is the recently published “Flowchart Planning Method,” where task sequence is planned using a flowchart, and motion trajectories are planned in a second pass [Huang et al, 2021].
series	ACADIA
type	workshop
last changed	2024/04/17 14:00

_id	caadria2021_173
id	caadria2021_173
authors	Xu, Wenzhao, Huang, Xiaoran and Kimm, Geoff
year	2021
title	Tear Down the Fences: Developing ABM Informed Design Strategies for Ungating Closed Residential Communities - Developing ABM informed design strategies for ungating closed residential communities
doi	https://doi.org/10.52842/conf.caadria.2021.2.467
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 467-477
summary	Embedded in Chinas urbanization process, the growth of gated residential estates has gradually induced severance of urban spaces, resulting in an underutilization of public amenities, a lack of walkable permeability, and congestion of traffic. Responding to these negative effects on urban development, the CPC has released a guideline in February 2016 to prohibit the development of any new closed residential areas in principle and to advocate ungated communities. In this paper, we utilized ABM simulation analysis to test different degrees of openness, the position of new entrances/openness, and pedestrian network typologies, aiming to explore feasible strategies to accommodate the new urban design agenda. A series of typical gated compounds in Beijing were selected for comparative case studies, conducted under different degrees of openness of each case and under diverse ungating modes between cases. On the basis of these analyses, we summarized a sequence of pedestrian-centric design strategies, seeking to increase the communities permeability and walkability by suggesting alternative internal and external road network design options for Beijing urban renewal. By integrating quantified simulation into the empirical method of urban design, our research can positively assist and inform urban practitioners to propose a more sustainable urbanity in the future.
keywords	Gated community; agent-based modeling; pedestrian simulation; computer-aided urban design; road network optimization
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	sigradi2022_298
id	sigradi2022_298
authors	Perry, Isha N.; Xue, Zhouyi; Huang, Hui-Ling; Crispe, Nikita; Vegas, Gonzalo; Swarts, Matthew; Gomez Z., Paula
year	2022
title	Human Behavior Simulations to Determine Best Strategies for Reducing COVID-19 Risk in Schools
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 39–50
summary	The dynamics of COVID-19 spread have been studied from an epidemiological perspective, at city, country, and global scales (Rabajante, 2020, Ma, 2020, and Giuliani et al., 2020), although after two years of the pandemic we know that viruses spread mostly through built environments. This study is part of the Spatiotemporal Modeling of COVID-19 spread in buildings research (Gomez, Hadi, and Kemenova et al., 2020 and 2021), which proposes a multidimensional model that integrates spatial configurations, temporal use of spaces, and virus characteristics into one multidimensional model. This paper presents a specific branch of this model that analyzes the behavioral parameters, such as vaccination, masking, and mRNA booster rates, and compares them to reducing room occupancy. We focused on human behavior, specifically human interactions within six feet. We utilized the multipurpose simulation software, AnyLogic, to quantify individual exposure to the virus, in the high school building by Perkins and Will. The results show how the most effective solution, reducing the occupancy rates or redesigning layouts, being the most impractical one, is as effective as 80% of the population getting a third boost.
keywords	Spatiotemporal Modeling, Behavior Analytics, COVID-19 Spread, Agent-Based Simulation, COVID-19 Prevention
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	cdrf2021_242
id	cdrf2021_242
authors	Waishan Qiu , Wenjing Li, Xun Liu, and Xiaokai Huang
year	2021
title	Subjectively Measured Streetscape Qualities for Shanghai with Large-Scale Application of Computer Vision and Machine Learning
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_23
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	Recently, many new studies emerged to apply computer vision (CV) to street view imagery (SVI) dataset to objectively extract the view indices of various streetscape features such as trees to proxy urban scene qualities. However, human perceptions (e.g., imageability) have a subtle relationship to visual elements which cannot be fully captured using view indices. Conversely, subjective measures using survey and interview data explain more human behaviors. However, the effectiveness of integrating subjective measures with SVI dataset has been less discussed. To address this, we integrated crowdsourcing, CV, and machine learning (ML) to subjectively measure four important perceptions suggested by classical urban design theory. We first collected experts’ rating on sample SVIs regarding the four qualities which became the training labels. CV segmentation was applied to SVI samples extracting streetscape view indices as the explanatory variables. We then trained ML models and achieved high accuracy in predicting the scores. We found a strong correlation between predicted complexity score and the density of urban amenities and services Point of Interests (POI), which validates the effectiveness of subjective measures. In addition, to test the generalizability of the proposed framework as well as to inform urban renewal strategies, we compared the measured qualities in Pudong to other five renowned urban cores worldwide. Rather than predicting perceptual scores directly from generic image features using convolution neural network, our approach follows what urban design theory suggested and confirms various streetscape features affecting multi-dimensional human perceptions. Therefore, its result provides more interpretable and actionable implications for policymakers and city planners.
series	cdrf
last changed	2022/09/29 07:53

_id	ijac202119407
id	ijac202119407
authors	Haeusler, Matthias H.; Gardner, Nicole; Yu, Daniel K.; Oh, Claire; Huang, Blair
year	2021
title	(Computationally) designing out waste: Developing a computational design workflow for minimising construction and demolition waste in early-stage architectural design
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 4, 594–611
summary	In the architecture, engineering and construction (AEC) industry, waste is oft framed as an economic problemtypically addressed in a building’s construction and demolition phase. Yet, architectural design decision-making can significantly determine construction waste outcomes. Following the logic of zero waste, thisresearch addresses waste minimisation‘at the source’. By resituating the problem of construction wastewithin the architectural design process, the research explores waste as a data and informational problem in adesign system. Accordingly, this article outlines the creation of an integrated computational design decisionsupport waste tool that employs a novel data structure combining HTML-scraped material data and historicbuilding information modelling (BIM) data to generate waste evaluations in a browser-based 3D modellingplatform. Designing an accessible construction waste tool for use by architects and designers aims to heightenawareness of the waste implications of design decisions towards challenging the systems of consumption andproduction that generate construction and demolition waste.
keywords	Construction and demolition waste, waste minimisation, zero waste, BIM databases, design process, designmanagement, web scraping, computational design, software product development
series	journal
email
last changed	2024/04/17 14:29

_id	ecaade2021_010
id	ecaade2021_010
authors	Huang, Yurong, Butler, Andrew, Gardner, Nicole and Haeusler, M. Hank
year	2021
title	Lost in Translation - Achieving semantic consistency of name-identity in BIM
doi	https://doi.org/10.52842/conf.ecaade.2021.2.009
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 9-20
summary	Custom room naming in architectural projects can vary considerably depending on the user. Having multiple and diverse names for the same room is particularly problematic for information retrieval processes in BIM-based projects. Current best practice includes either team agreement on naming labels in BIM or manual renaming to align with an office-wide standard. Both remain laborious and flawed and lead to compounding errors. This research explores how an automated naming-standardization workflow can enhance the interoperability of object-based modeling in a BIM environment and make information retrieval more reliable for a project life cycle. This paper presents research on (1) building a custom corpus specialized for architectural terminology to fit into the BIM environment and (2) devising a standard-naming system titled WuzzyNaming to save manual work for BIM users in maintaining room-name consistency. Our presented workflow applied natural language processing (NLP) technique and Fuzzy logic to perform the semantic analysis and automate the BIM room-name standardization.
keywords	Building information modeling; Natural Language Processing; Data interoperability; Naming convention; Fuzzy logic
series	eCAADe
email
last changed	2022/06/07 07:50

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