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	caadria2011_053
id	caadria2011_053
authors	Jalalian, Arash; Stephan K. Chalup and Michael J. Ostwald
year	2011
title	Agent-agent interaction as a component of agent-environment interaction in the modelling and analysis of pedestrian visual behaviour
doi	https://doi.org/10.52842/conf.caadria.2011.555
source	Proceedings of the 16th International Conference on Computer Aided Architectural Design Research in Asia / The University of Newcastle, Australia 27-29 April 2011, pp. 555-564
summary	This multidisciplinary project involves concepts from architectural design, statistical learning, machine vision, and human ecology. The focus is on analysing how pedestrians’ dynamic behaviour in space is influenced by the environmental design of different architectural scenarios. This paper presents a multi-agent pedestrian simulation and analysis system that supports agent-to-agent interactions, different spatial desires, and interpersonal distance. The system simulates and analyses pedestrian spatial behaviour with combined focus on movement trajectories, walking speed, and the visual gaze vector. The analysis component relies on learning a statistical model characterising normal/abnormal behaviour, based on sample observations of regular pedestrian movements without/with the impacts of significant visual attractions in the environment. Using the example of Wheeler Place in Newcastle (Australia) our pilot experiments demonstrate how pedestrian behaviour characteristics can depend on selected features in the visual environment. The presented system will allow architects and urban designers to obtain better assessment of planned urban spaces and streetscape characteristics and their impacts on pedestrian behaviour.
keywords	Agent interaction; pedestrian behaviour; analysis
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2011_047
id	caadria2011_047
authors	Ostwald, Michael J.; Josephine Vaughan and Stephan K. Chalup
year	2011
title	Data flow and processing in the computational fractal analysis method
doi	https://doi.org/10.52842/conf.caadria.2011.493
source	Proceedings of the 16th International Conference on Computer Aided Architectural Design Research in Asia / The University of Newcastle, Australia 27-29 April 2011, pp. 493-502
summary	One of the few quantitative methods available for the consistent analysis of architectural form is the ‘box-counting’ approach to determining the approximate fractal dimension of a plan or elevation. In its computational form this method has been used to analyze the plans and facades of a wide range of buildings. The data points produced are synthesized by the software into a series of fractal dimension (D) values that are in turn compiled in various ways to produce a series of composite results describing a complete building. Once this process is complete the data may be coded with additional information producing a set of mathematical results that describe the form of a building. This paper offers the first complete description of this important analytical process from the point of view of information flow, algorithmic operations, review options and data magnitude. No previous paper has detailed the full scope of the data used in the computational method, or the way in which various stages produce different types of outcomes. The purpose of this paper is to elucidate the way in which this particular computational method, drawing its inspiration from the complexity in natural systems, may be used to process different types of information and produce various forms of quantitative data to support architectural design and analysis.
keywords	Fractal analysis; computational analysis
series	CAADRIA
email
last changed	2022/06/07 08:00

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