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	ddss2004_ra-161
id	ddss2004_ra-161
authors	Bandini, S., S. Manzoni, and G. Vizzari
year	2004
title	Crowd Modeling and Simulation
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Recent Advances in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Kluwer Academic Publishers, ISBN: 1-4020-2408-8, p. 161-175
summary	The paper introduces a Multi Agent Systems (MAS) approach to crowd modelling and simulation, based on the Situated Cellular Agents (SCA) model. This is a special class of Multilayered Multi Agent Situated System (MMASS), exploiting basic elements of Cellular Automata. In particular SCA model provides an explicit spatial representation and the definition of adjacency geometries, but also a concept of autonomous agent, provided with an internal architecture, an individual state and behaviour. The latter provides different means of space-mediated interaction among agents: synchronous, between adjacent agents, and asynchronous among at-a-distance entities. Heterogeneous entities may be modelled through the specification of different agent types, defining different behaviours and perceptive capabilities. After a brief description of the model, its application to simple crowd behaviours will be given, and an application providing the integration of a bidimensional simulator based on this model and a 3D modelling application (3D Studio) will also be described. The adoption of this kind of system allows the specification and simulation of an architectural design with reference to the behaviour of entities that will act in it. The system is also able to easily produce a realistic visualization of the simulation, in order to facilitate the evaluation of the design and the communication with involved decision-makers. In fact, while experts often require only abstract and analytical results deriving from a quantitative analysis of simulation results, other people involved in the decision-making process related to the design may be helped by qualitative aspects better represented by other forms of graphical visualization.
keywords	Multi-Agent Systems, 3D modelling, Simulation
series	DDSS
last changed	2004/07/03 22:13

_id	ddss2004_d-269
id	ddss2004_d-269
authors	Beetz, J., J. van Leeuwen, and B. de Vries
year	2004
title	Towards a Multi Agent System for the Support of Collaborative Design
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Developments in Design & Decision Support Systems in Architecture and Urban Planning, Eindhoven: Eindhoven University of Technology, ISBN 90-6814-155-4, p. 269-280
summary	In this paper we are drafting the outline of a framework for a Multi Agent System (MAS) for the support of Collaborative Design in the architectural domain. The system we are proposing makes use of Machine Learning (ML) techniques to infer personalized knowledge from observing a users’ action in a generic working environment using standard tools such as CAD packages. We introduce and discuss possible strategies to combine Concept Modelling (CM)-based approaches using existing ontologies with statistical analysis of action sequences within a domain specific application. In a later step, Agent technologies will be used to gather additional related information from external resources such as examples of similar problems on the users hard disk, from corresponding work of team-members within an intranet or from advises of expert from different knowledge domains, themselves represented by agents. As users deny or reward resulting proposals offered by the agent(s) through an interface the system will be enhanced over time using methods like Reinforced Learning.
keywords	Multi Agent Systems, Design & Decision Support Systems, Collaborative Design, Human Computer Interfaces, Machine learning, Data Mining
series	DDSS
last changed	2004/07/03 22:13

_id	ddss2004_ra-33
id	ddss2004_ra-33
authors	Diappi, L., P. Bolchim, and M. Buscema
year	2004
title	Improved Understanding of Urban Sprawl Using Neural Networks
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Recent Advances in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Kluwer Academic Publishers, ISBN: 14020-2408-8, p. 33-49
summary	It is widely accepted that the spatial pattern of settlements is a crucial factor affecting quality of life and environmental sustainability, but few recent studies have attempted to examine the phenomenon of sprawl by modelling the process rather than adopting a descriptive approach. The issue was partly addressed by models of land use and transportation which were mainly developed in the UK and US in the 1970s and 1980s, but the major advances were made in the area of modelling transportation, while very little was achieved in the area of spatial and temporal land use. Models of land use and transportation are well-established tools, based on explicit, exogenouslyformulated rules within a theoretical framework. The new approaches of artificial intelligence, and in particular, systems involving parallel processing, (Neural Networks, Cellular Automata and Multi-Agent Systems) defined by the expression “Neurocomputing”, allow problems to be approached in the reverse, bottom-up, direction by discovering rules, relationships and scenarios from a database. In this article we examine the hypothesis that territorial micro-transformations occur according to a local logic, i.e. according to use, accessibility, the presence of services and conditions of centrality, periphericity or isolation of each territorial “cell” relative to its surroundings. The prediction capabilities of different architectures of supervised Neural networks are implemented to the south Metropolitan area of Milan at two different temporal thresholds and discussed. Starting from data on land use in 1980 and 1994 and by subdividing the area into square cells on an orthogonal grid, the model produces a spatial and functional map of urbanisation in 2008. An implementation of the SOM (Self Organizing Map) processing to the Data Base allows the typologies of transformation to be identified, i.e. the classes of area which are transformed in the same way and which give rise to territorial morphologies; this is an interesting by-product of the approach.
keywords	Neural Networks, Self-Organizing Maps, Land-Use Dynamics, Supervised Networks
series	DDSS
last changed	2004/07/03 22:13

_id	sigradi2004_404
id	sigradi2004_404
authors	Eduardo Lyon
year	2004
title	Artificial intelligence and emergence in architecture: A multi-agent based model for design processes
source	SIGraDi 2004 - [Proceedings of the 8th Iberoamerican Congress of Digital Graphics] Porte Alegre - Brasil 10-12 november 2004
summary	The purpose of this paper is to provide an alternative approach to traditional design process formulation and elaboration. In contrast to traditional models of design process fundamentally defined by the abstract manipulation of objects, this study recognizes that the resources available for rethinking architecture are to be found in a reformulation of its theory and practice. This reformulation should be based on non-linear design processes in which dynamic emergence and invention take the place of a linear design process fixed on a particular object evolution. Design is possible to be defined in two different and commonly confused ways; one as the process of designing or design activity and the second as the product of designing. In this study, we are concerned with design as a process to emphasize the misconceptions, derived from studying design products solely. Therefore, we propose a change from a design knowledge based on objects to a one focused on design as a network of processes.
series	SIGRADI
email
last changed	2016/03/10 09:51

_id	2004_148
id	2004_148
authors	Fatah gen. Schieck, A., Penn, A., Mottram, C., Strothmann, C., Ohlenburg, J., Broll, W. and Aish, F.
year	2004
title	Interactive Space Generation through Play - Exploring Form Creation and the Role of Simulation on the Design Table
source	Architecture in the Network Society [22nd eCAADe Conference Proceedings / ISBN 0-9541183-2-4] Copenhagen (Denmark) 15-18 September 2004, pp. 148-158
doi	https://doi.org/10.52842/conf.ecaade.2004.148
summary	In this paper we report on recent developments in ARTHUR: an approach to support complex design and planning decisions for architects together with the simulation of pedestrian movement and the integration of existing CAD tools on the design table. Following a brief introduction, past and current work that has taken a similar approach will be reviewed. Next we describe a scenario that integrates agent-based simulations of pedestrian movement with space creation, and then give an overview of the system before finally discussing findings related to recent user evaluation studies of the system. This paper suggests that the integration of simulated pedestrian movement on the design table, while going through a cycle of reflection-in-action, plays a vital role in exploring possible design solutions and encourages new and different ways of thinking about design problems.
keywords	Tangible User Interface, Pedestrian Simulation, Collaboration, Augmented Reality (AR), CAD Integration
series	eCAADe
last changed	2022/06/07 07:55

_id	avocaad_2003_18
id	avocaad_2003_18
authors	Henri Achten, Jos van Leeuwen and Sverker Fridqvist
year	2003
title	Communicating Concepts for Shared Understanding: A Multi-Agent Approach
source	LOCAL VALUES in a NETWORKED DESIGN WORLD - ADDED VALUE OF COMPUTER AIDED ARCHITECTURAL DESIGN, Stellingwerff, Martijn and Verbeke, Johan (Eds.), (2004) DUP Science - Delft University Press, ISBN 90-407-2507-1.
summary	Capturing and sharing design concepts is necessary if we want to support the design process by means of Information & Communication Technology (ICT). Standardized concepts are important for support at the end of the design process when designs need to conform to set standards and norms, and in order to enable communication, but are less useful in the early design stages. We propose an approach that takes into account a more developmental attitude that will be better suited for design support and the sharing of design concepts. In this approach, design concepts are formalised by means of a technology called concept modelling. Capturing and exchange of concepts are based on a multi-agent approach. The whole of concepts that are used in a domain or for a design task can be considered a design ontology. In this paper we outline the motivations for the research, outline the basic approach in the research work, and identify the major challenges and research problems that need to be tackled.
keywords	Architecture, Local values, Globalisation, Computer Aided Architectural Design
series	AVOCAAD
email
last changed	2006/01/16 21:38

_id	ijac20032105
id	ijac20032105
authors	Kolarevic, Branko
year	2004
title	Back to the Future: Performative Architecture
source	International Journal of Architectural Computing vol. 2 - no. 1
summary	The paper addresses performative architecture as an emerging design paradigm in which building performance, broadly understood, becomes a guiding design principle. It traces the origins of this approach to design to Tom Maver's visionary work in early seventies, discusses the inadequacy of existing building performance simulation tools in conceptual design, and proposes the development of software that can provide dynamic processes of formation based on specific performance objectives.
series	journal
email
more	http://www.multi-science.co.uk/ijac.htm
last changed	2007/03/04 07:08

_id	ddss2004_d-157
id	ddss2004_d-157
authors	Krafta, R.
year	2004
title	Space is the Machine, with a Ghost Inside
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Developments in Design & Decision Support Systems in Architecture and Urban Planning, Eindhoven: Eindhoven University of Technology, ISBN 90-6814-155-4, p. 157-173
summary	The purpose of this paper is to report efforts towards the construction of a model for urban spatial dynamics simulation, based on multi-agents and space. The underlying idea is to have urban space producers and consumers operating in a two-layer, two-circuit model. The first layer holds urban space and its successive transformations; a second layer contains agents related to space; the first circuit simulates space production, and a second one simulates space consumption. Relationship between layers is represented as objective spatial features that agents are submitted to (the machine) and subjective meanings agents attach to each spatial feature (the ghost). While space works always in the same way, meanings vary according to each agent’s background and context. Relationships between circuits are represented by means of a market game in which producers try to maximize their profits by gambling with their risks, whereas consumers try to foresee the spatial distribution of local externalities that maximizes their utilities and investments. Urban Spatial Features are captured through centrality and land use patterns; every single agent’s action leads to changes in both patterns. Producers’ profit is a function of built form location. Consumers’ local externalities are concerned basically with present and future services. The model iteration is twofold: first it generates and allocates a number of built forms within a previously determined spatial system (a cellular matrix, for example), and second it allocates users to built forms. Population of users have its social profile and growth rate externally determined. Built form allocation is decided on the basis of a combination of profitXrisk perspectives. Users’ locational choice is supported by accessibility to services and present/future neighbourhood profile. Built form allocation works as parameter for users’ locational assessment, whereas users’ choices are used as parameters for developers. The model tends to adjust itself, in terms of quantities and types of built forms to be erected, although through a market lag of some iterations. Allocations are always made through weighted draws, so that mutations (non deterministic allocations) do occur.
keywords	Urban Morphology, Urban Growth, Simulation
series	DDSS
last changed	2004/07/03 22:13

_id	ddss2004_ra-129
id	ddss2004_ra-129
authors	Ma, L., Th. Arentze, A. Borgers, and H. Timmermans
year	2004
title	Using Bayesian Decision Networks for Knowledge Representation under Conditions of Uncertainty in Multi-Agent Land Use Simulation Models
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Recent Advances in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Kluwer Academic Publishers, ISBN 1-4020-24088, p. 129-144
summary	Land suitability analysis typically involves the assessment of the suitability of land units without knowing the future spatial distribution of land use. Traditional planning techniques have used “algebraic equations” to express land suitability as a weighted function of suitability scores across multiple criteria. However, the existing multi-criteria evaluation methods do not systematically account for uncertainty about the land use in adjacent and other cells. This paper proposes an alternative approach to land suitability analysis that does address the problem of uncertainty. In particular, Bayesian decision networks are suggested as a means of knowledge representation for agents in a multi-agent land use simulation system. Bayesian decision networks model the uncertainty in terms of probabilities specified in the network representing the expertise of specialists with respect to specific land uses. This paper discusses the approach and illustrates its use in the context of a retail agent.
keywords	Land Suitability Analysis, Multi-Agents, Knowledge Representation, Bayesian Decision Networks
series	DDSS
last changed	2004/07/03 22:13

_id	sigradi2004_310
id	sigradi2004_310
authors	Sharad Sharma; James A. Turner
year	2004
title	An object oriented approach to simulating agent-based behavior
source	SIGraDi 2004 - [Proceedings of the 8th Iberoamerican Congress of Digital Graphics] Porte Alegre - Brasil 10-12 november 2004
summary	In this paper, we present an object-oriented approach for simulating agent-based egress behavior. The tool can be used when planners or designers need to assess the implications of their design or planning decisions. The tool is a web-based application that is being developed using standard protocols and technologies such as HTTP, HTML, and Java. It also demonstrates the effect of new building designs by simulating human evacuation behavior and relates the behavior of people. The existing models to describe the behavior of crowds usually deal with macroscopic variables like the average speed or the flow. Our aim is to model crowds as a malleable, moving masses, hoping that a more refined simulation might be achieved by considering each avatars behavior.
keywords	Agent based simulation, Egress behavior
series	SIGRADI
email
last changed	2016/03/10 10:00

_id	cf2011_p018
id	cf2011_p018
authors	Sokmenoglu, Ahu; Cagdas Gulen, Sariyildiz Sevil
year	2011
title	A Multi-dimensional Exploration of Urban Attributes by Data Mining
source	Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 333-350.
summary	The paper which is proposed here will introduce an ongoing research project aiming to research data mining as a methodology of knowledge discovery in urban feature analysis. To address the increasing multi-dimensional and relational complexity of urban environments requires a multidisciplinary approach to urban analysis. This research is an attempt to establish a link between knowledge discovery methodologies and automated urban feature analysis. Therefore, in the scope of this research we apply data mining methodologies for urban analysis. Data mining is defined as to extract important patterns and trends from raw data (Witten and Frank, 2005). When applied to discover relationships between urban attributes, data mining can constitute a methodology for the analysis of multi-dimensional relational complexity of urban environments (Gil, Montenegro, Beirao and Duarte, 2009) The theoretical motivation of the research is derived by the lack of explanatory urban knowledge which is an issue since 1970‚Äôs in the area of urban research. This situation is mostly associated with deductive methods of analysis. The analysis of urban system from the perspective of few interrelated factors, without considering the multi-dimensionality of the system in a deductive fashion was not been explanatory enough. (Jacobs, 1961, Lefebvre, 1970 Harvey, 1973) To address the multi-dimensional and relational complexity of urban environments requires the consideration of diverse spatial, social, economic, cultural, morphological, environmental, political etc. features of urban entities. The main claim is that, in urban analysis, there is a need to advance from traditional one dimensional (Marshall, 2004) description and classification of urban forms (e.g. Land-use maps, Density maps) to the consideration of the simultaneous multi-dimensionality of urban systems. For this purpose, this research proposes a methodology consisting of the application of data mining as a knowledge discovery method into a GIS based conceptual urban database built out of official real data of Beyoglu. Generally, the proposed methodology is a framework for representing and analyzing urban entities represented as objects with properties (attributes). It concerns the formulation of an urban entity‚Äôs database based on both available and non-available (constructed from available data) data, and then data mining of spatial and non-spatial attributes of the urban entities. Location or position is the primary reference basis for the data that is describing urban entities. Urban entities are; building floors, buildings, building blocks, streets, geographically defined districts and neighborhoods etc. Urban attributes are district properties of locations (such as land-use, land value, slope, view and so forth) that change from one location to another. Every basic urban entity is unique in terms of its attributes. All the available qualitative and quantitative attributes that is relavant (in the mind of the analyst) and appropriate for encoding, can be coded inside the computer representation of the basic urban entity. Our methodology is applied by using the real and official, the most complex, complete and up-to-dataset of Beyoglu (a historical neighborhood of Istanbul) that is provided by the Istanbul Metropolitan Municipality (IBB). Basically, in our research, data mining in the context of urban data is introduced as a computer based, data-driven, context-specific approach for supporting analysis of urban systems without relying on any existing theories. Data mining in the context of urban data; ‚Ä¢ Can help in the design process by providing site-specific insight through deeper understanding of urban data. ‚Ä¢ Can produce results that can assist architects and urban planners at design, policy and strategy levels. ‚Ä¢ Can constitute a robust scientific base for rule definition in urban simulation applications such as urban growth prediction systems, land-use simulation models etc. In the paper, firstly we will present the framework of our research with an emphasis on its theoretical background. Afterwards we will introduce our methodology in detail and finally we will present some of important results of data mining analysis processed in Rapid Miner open-source software. Specifically, our research define a general framework for knowledge discovery in urban feature analysis and enable the usage of GIS and data mining as complementary applications in urban feature analysis. Acknowledgments I would like to thank to Nuffic, the Netherlands Organization for International Cooperation in Higher Education, for funding of this research. I would like to thank Ceyhun Burak Akgul for his support in Data Mining and to H. Serdar Kaya for his support in GIS.
keywords	urban feature analysis, data mining, urban database, urban complexity, GIS
series	CAAD Futures
email
last changed	2012/02/11 19:21

_id	ddss2004_ra-177
id	ddss2004_ra-177
authors	Ballas, D., R. Kingston, and J. Stillwell
year	2004
title	Using a Spatial Microsimulation Decision Support System for Policy Scenario Analysis
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Recent Advances in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Kluwer Academic Publishers, ISBN: 1-4020-2408-8, p. 177-191
summary	This paper discusses the potential of a spatial microsimulation-based decision support system for policy analysis. The system can be used to describe current conditions and issues in neighbourhoods, predict future trends in the composition and health of neighbourhoods and conduct modelling and predictive analysis to measure the likely impact of policy interventions at the local level. A large dynamic spatial micro-simulation model is being constructed for the population of Leeds (approximately 715,000 individuals) based on spatial microsimulation techniques in conjunction with a range of data, including 2001 Census data for Output Areas and sample data from the British Household Panel Survey. The project has three main aims as follows: (i) to develop a static microsimulation model to describe current conditions in Leeds; (ii) to enable the performance of ‘What if?’ analysis on a range of policy scenarios; and (iii) to develop a dynamic microsimulation model to predict future conditions in Leeds under different policy scenarios. The paper reports progress in meeting the above aims and outlines the associated difficulties and data issues. One of the significant advantages of the spatial microsimulation approach adopted by this project is that it enables the user to query any combination of variables that is deemed desirable for policy analysis. The paper will illustrate the software tool being developed in the context of this project that is capable of carrying out queries of this type and of mapping their results. The decision support tool is being developed to support policy-makers concerned with urban regeneration and neighbourhood renewal.
keywords	Spatial Microsimulation, Spatial Decision Support Systems, Geotools
series	DDSS
last changed	2004/07/03 22:13

_id	ijac20032206
id	ijac20032206
authors	Cory Clarke; Phillip Anzalone
year	2004
title	Trusset: Parallel Development of Software and Construction Systems for Space-Truss Structures
source	International Journal of Architectural Computing vol. 2 - no. 2
summary	This paper documents our current progress on theparallel development of a building system andcorresponding agent-based software design tools;together the two produce a seamless pipeline fromdesign to fabrication and assembly. The building systemis a clad differential space-truss designed forfabrication entirely with computer numericallycontrolled (CNC) linear cutting devices such as CNClaser cutters or two-axis mills. The softwarecomponent is a set of agent-based design tools fordeveloping surfaces and envelopes formally suitable tobe built using our space-truss system.
series	journal
email
more	http://www.multi-science.co.uk/ijac.htm
last changed	2007/03/04 07:08

_id	ecaaderis2018_103
id	ecaaderis2018_103
authors	Davidová, Marie and Prokop, Šimon
year	2018
title	TreeHugger - The Eco-Systemic Prototypical Urban Intervention
source	Odysseas Kontovourkis (ed.), Sustainable Computational Workflows [6th eCAADe Regional International Workshop Proceedings / ISBN 9789491207143], Department of Architecture, University of Cyprus, Nicosia, Cyprus, 24-25 May 2018, pp. 75-84
keywords	The paper discusses co-design, development, production, application of TreeHugger (see Figure 1). The co-design among community and trans-disciplinary participants with different expertise required scope of media mix, switching between analogue, digital and back again. This involves different degrees of physical and digital 'GIGA-Mapping' (Sevaldson, 2011, 2015), 'Grasshopper3d' (Davidson, 2017) scripting and mix of digital and analogue fabrication to address the real life world. The critical participation of this 'Time-Based Design' (Sevaldson, 2004, 2005) process is the interaction of the prototype with eco-systemic agency of the adjacent environment - the eco-systemic performance. The TreeHugger is a responsive solid wood insect hotel, generating habitats and edible landscaping (Creasy, 2004) on bio-tope in city centre of Prague. To extend the impact, the code was uploaded for communities to download, local-specifically edit and apply worldwide. Thus, the fusion of discussed processes is multi-scaled and multi-layered, utilised in emerging design field: Systemic Approach to Architectural Performance.
series	eCAADe
email
last changed	2018/05/29 14:33

_id	ddss2004_ra-145
id	ddss2004_ra-145
authors	Devisch, O.T.J., H.J.P. Timmermans, T.A. Arentze, and A.W.J. Borgers
year	2004
title	Towards a Generic MultiAgent Engine for the Simulation of Spatial Behavioural Processes
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Recent Advances in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Kluwer Academic Publishers, ISBN: 1-4020-2408-8, p. 145-160
summary	SwarmCity is being developed as a micro-simulation model, simulating the location-choice behaviour of a population of households, retailers, firms, developers, etc. reacting to an urban plan. The focus of SwarmCity lies –in a first phase- on the decision-making procedures of households, conceptualised as a series of three processes: awakening, search and choice. The methodology used to implement these processes makes use of life-time utility and decisionanalysis trees. The final model should work as a scenario-analysis tool, allowing planners, developers, retailers and municipalities to test interventionproposals, to evaluate legislations, to measure the attractiveness of services, to quantify residential mobility, etc. This paper illustrates the state of the art in household location-choice modelling and introduces a first attempt in developing a conceptual framework.
keywords	Micro Simulation, Multi-Agent Systems, Spatial Simulation Models, Scenario Analysis, Heuristic Decision-Making, Location-Choice Behaviour, DecisionAnalysis Trees, Residential Mobility, Lifetime Utility
series	DDSS
last changed	2004/07/03 22:13

_id	ddss2004_d-127
id	ddss2004_d-127
authors	Dijkstra, J., H.J.P. Timmermans, and B. de Vries
year	2004
title	Data Requirements for the Amanda Model System
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Developments in Design & Decision Support Systems in Architecture and Urban Planning, Eindhoven: Eindhoven University of Technology, ISBN 90-6814-1554, p. 127-139
summary	The Amanda model system uses a multi-agent approach in an attempt to simulate pedestrian dynamic destination and route choice. Data collecting efforts are needed to calibrate the model. This paper discusses these data requirements.
keywords	Multi-Agent Systems, Activity Modelling, Pedestrian Behaviour
series	DDSS
last changed	2004/07/03 22:13

_id	ddss2004_d-111
id	ddss2004_d-111
authors	Kitazawa, K. and M. Batty
year	2004
title	Pedestrian Behaviour Modelling
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Developments in Design & Decision Support Systems in Architecture and Urban Planning, Eindhoven: Eindhoven University of Technology, ISBN 90-6814-155-4, p. 111-126
summary	This paper introduces a study of pedestrian behaviour modelling which incorporates ideas about agent-based systems and the traffic models based on the utility-maximization theory. The aim of this study is to examine the applicable scope of one of the basic assumptions in existing spatial behaviour models; the route with shortest distance maximizes the utility of each pedestrian’s travel. Although shortest-path models have been widely used in the field of Traffic management to predict routing behaviour, there can be seen a lot of erratic behaviour in urban areas, shopping migration behaviour for instance, which can not be explained by them. Thus, it is important to identify other possible influential factors on their utility maximization process in order to develop more explicable models of pedestrian movements. In this study, we implemented a simulation model using the shortest-path model as one of evaluation criteria of Genetic Algorithms (GA) to computationally emulate retail movements of shoppers in a big shopping centre and to test the accuracy of the model by comparison between the routes estimated by the model and actual trajectories of shoppers. This simulation system will be used as a platform for further modelling.
keywords	Pedestrian Modelling, Retail Movement, Shortest-Path, Genetic Algorithms
series	DDSS
last changed	2004/07/03 22:13

_id	ijac20032109
id	ijac20032109
authors	Lang, Silke
year	2004
title	Interactive Spaces for Advanced Communication using 3D Video
source	International Journal of Architectural Computing vol. 2 - no. 1
summary	Architects integrate more and more modern information technologies in their projects. Based on this background the use of 3D video in an architectural context is discussed. The combination of real-time 3D video and blue-c technology for a distributed shopping experience in shared virtual shops is described. IN: SHOP illustrates an approach to enhance physical environments in shopping areas and connects geographically distant persons. These technologies offer new architectural design possibilities. The traditional understanding of location, space, and time may be redefined. Interactive spaces are being designed, modified and experienced. We believe that information technologies have an impact on buildings and architecture.
series	journal
email
more	http://www.multi-science.co.uk/ijac.htm
last changed	2007/03/04 07:08

_id	ijac20032201
id	ijac20032201
authors	Mahalingam, Ganapathy; Kavasseri, Rajesh G.
year	2004
title	Improving Objective Digital Images with Neuronal Processing: A Computational Approach
source	International Journal of Architectural Computing vol. 2 - no. 2
summary	This paper describes an experiment where an imagerecorded with a digital camera is processed using anelectro-physiological model of a neuron. Theluminosity level of each pixel of the source image istreated as the stimulus for an individual neuron, andthe source image is transformed into a responseimage based on the processing behavior of theHodgkin-Huxley neuronal model. It is seen thattransformation of the image through neuronalprocessing yields (i) more evenly balanced levels ofluminosity and (ii) a more ‘subjective’ rendering of theenvironment than what was photographed with thedigital camera.The CCD (charge coupled device) –based digital camera reveals its limitation as a linearrecording device that does not have a balanceddynamic range.The neuronal processing of the imageadds non-linearity and a balanced range to theluminosity levels in the image, rendering it closer to a‘subjective’ perception of the scene.
series	journal
email
more	http://www.multi-science.co.uk/ijac.htm
last changed	2007/03/04 07:08

_id	ascaad2004_paper15
id	ascaad2004_paper15
authors	Mallasi, Z.
year	2004
title	Identification and Visualisation of Construction Activities’ Workspace Conflicts Utilising 4D CAD/VR Tools
source	eDesign in Architecture: ASCAAD's First International Conference on Computer Aided Architectural Design, 7-9 December 2004, KFUPM, Saudi Arabia
summary	This work addresses the problem arising on all construction sites: the occurrence of workspace interference between construction activities. From a site space planning context, this problem can lead to an inevitable roadblock to the progress of the scheduled construction operations. In real situations, when the spatial congestions occur, they could reduce productivity of workers sharing the same workspace and may cause health and safety hazard issues. The aim of this paper is on presenting a computer-based method and developed tool to assist site managers in the assignment and identification of workspace conflicts. The author focuses on the concept of ‘visualising space competition’ between the construction activities. The concept is based on a unique representation of the dynamic behaviour of activity workspace in 3D space and time. An innovative computer-based tool dubbed PECASO (Patterns Execution and Critical Analysis of Site-space Organisation) has been developed. The emerging technique of 4D (3D + time) visualisation has been chosen to yield an interesting 4D space planning and visualisation tool. A multi-criteria function for measuring the severity of the workspace congestions is designed, embedding the spatial and schedule related criteria. The paper evaluates the PECASO approach in order to minimise the workspace congestions, using a real case study. The paper concludes that the PECASO approach reduces the number of competing workspaces and the conflicting volumes between occupied workspace, which in turn produces better assessment to the execution strategy for a given project schedule. The system proves to be a promising tool for 4D space planning; in that it introduces a new way of communicating the programme of work.
series	ASCAAD
email
last changed	2007/04/08 19:47

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