Abstract
Simulating groups of virtual humans (crowd simulation) affords the analysis and data-driven design of interactions between buildings and their occupants. For this to be useful in practice however, crowd simulators must be well coupled with modeling tools in a way that allows users to iteratively use simulation feedback to adjust their designs. This is a non-trivial research and engineering task as designers often use parametric exploration tools early in their design pipelines. To address this issue, we propose a platform that provides a joint parametric representation of (a) a building and the bounds of its permissible alterations, (b) a crowd that populates the environment, and (c) the activities that the crowd engages in. Based on this input, users can systematically run simulations and analyze the results in the form of data-maps, spatialized representations of human-centric analyses. The platform combines Dynamo with SteerSuite, two established tools for parametric design and crowd simulations, to create a familiar node-based workflow. We systematically evaluate the approach by tuning spatial, social, and behavioral parameters to generate human-centric analyses for the design of a generic exhibition space.
Keywords
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Dynamo: Open source graphical programming for design. https://dynamobim.org/
Bafna, S.: Space syntax: a brief introduction to its logic and analytical techniques. Environ. Behav. 35(1), 17–29 (2003)
van den Berg, J., Guy, S.J., Lin, M., Manocha, D.: Reciprocal n-body collision avoidance. In: Pradalier, C., Siegwart, R., Hirzinger, G. (eds.) Robotics Research. Springer Tracts in Advanced Robotics, vol. 70, pp. 3–19. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-19457-3_1
Berseth, G., Kapadia, M., Faloutsos, P.: Robust space-time footsteps for agent-based steering. Comput. Animation Virtual Worlds (2015). https://www.semanticscholar.org/paper/Robust-Space-Time-Footsteps-for-Agent-Based-Berseth/21d3e445853bf9852b6f10d56f473aef7b18f98c
Bhatt, M., Schultz, C., Huang, M.: The shape of empty space: human-centred cognitive foundations in computing for spatial design. In: IEEE Symposium on Visual Languages and Human-Centric Computing, pp. 33–40 (2012)
Bohannon, R.W.: Comfortable and maximum walking speed of adults aged 20–79 years: reference values and determinants. Age Ageing 26(1), 15–9 (1997)
Brodeschi, M., Pilosof, N.P., Kalay, Y.E.: The definition of semantic of spaces in virtual built environments oriented to BIM implementation. In: Proceedings of Computer Aided Architectural Design Futures, pp. 331–346 (2015)
Chu, M.L., Parigi, P., Law, K., Latombe, J.C.: Modeling social behaviors in an evacuation simulator. Comput. Animation Virtual Worlds 25(3–4), 373–382 (2014)
Goldstein, R., Tessier, A., Khan, A.: Schedule-calibrated occupant behavior simulation. In: Proceedings of the 2010 Spring Simulation Multiconference, p. 180. Society for Computer Simulation International (2010)
Helbing, D., Farkas, I., Vicsek, T.: Simulating dynamical features of escape panic. Nature 407(6803), 487–490 (2000)
Helbing, D., Molnar, P.: Social force model for pedestrian dynamics. Phys. Rev. E 51(5), 4282 (1995)
Hillier, B., Hanson, J.: The Social Logic of Space. Cambridge University Press, Cambridge (1989)
Hölscher, C., Büchner, S.J., Meilinger, T., Strube, G.: Adaptivity of wayfinding strategies in a multi-building ensemble: the effects of spatial structure, task requirements, and metric information. J. Environ. Psychol. 29(2), 208–219 (2009)
Hong, S.W., Lee, Y.G.: The effects of human behavior simulation on architecture major students’ fire egress planning. J. Asian Archit. Build. Eng. 17(1), 125–132 (2018)
Hong, S.W., Schaumann, D., Kalay, Y.E.: Human behavior simulation in architectural design projects: an observational study in an academic course. Comput. Environ. Urban Syst. 60, 1–11 (2016)
Kalay, Y.E.: Architecture’s New Media: Principles, Theories, and Methods of Computer-Aided Design. MIT Press, Cambridge (2004)
Kapadia, M., Pelechano, N., Allbeck, J., Badler, N.: Virtual crowds: steps toward behavioral realism. Synth. Lect. Vis. Comput. Comput. Graph. Animat. Comput. Photogr. Imaging 7(2), 1–270 (2015)
Kapadia, M., Shoulson, A., Steimer, C., Oberholzer, S., Sumner, R.W., Gross, M.: An event-centric approach to authoring stories in crowds. In: Proceedings of the 9th International Conference on Motion in Games, pp. 15–24. ACM (2016)
Karamouzas, I., Heil, P., van Beek, P., Overmars, M.H.: A predictive collision avoidance model for pedestrian simulation. In: Egges, A., Geraerts, R., Overmars, M. (eds.) MIG 2009. LNCS, vol. 5884, pp. 41–52. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-10347-6_4
Kim, T.W., Fischer, M.: Automated generation of user activity-space pairs in space-use analysis. J. Constr. Eng. Manag. 140(5), 04014007 (2014)
LaPlante, J.N., Kaeser, T.P.: The continuing evolution of pedestrian walking speed assumptions. ITE J. Inst. Transp. Eng. 74(9), 32 (2004)
Lee, K.H., Choi, M.G., Hong, Q., Lee, J.: Group behavior from video: a data-driven approach to crowd simulation. In: Proceedings of the 2007 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pp. 109–118. Eurographics Association (2007)
Lerner, A., Chrysanthou, Y., Lischinski, D.: Crowds by example. In: Computer Graphics Forum, vol. 26, pp. 655–664. Wiley Online Library (2007)
Morad, M., Zinger, E., Schaumann, D., Pilosof, N.P., Kalay, Y.: A dashboard model to support spatio-temporal analysis of simulated human behavior in future built environments. In: Symposium on Simulation for Architecture and Urban Design, June 2018
Pan, X., Han, C.S., Dauber, K., Law, K.H.: A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations. AI Soc. 22(2), 113–132 (2007)
Reynolds, C.W.: Flocks, herds and schools: a distributed behavioral model. In: ACM SIGGRAPH Computer Graphics, vol. 21, no. 4, pp. 25–34 (1987)
Rittel, H.: Some principles for the design of an educational system for design. J. Architectural Educ. 26(1–2), 16–27 (1971)
Schaumann, D., Breslav, S., Goldstein, R., Khan, A., Kalay, Y.E.: Simulating use scenarios in hospitals using multi-agent narratives. J. Build. Perform. Simul. 10(5–6), 636–652 (2017)
Schaumann, D., Date, K., Kalay, Y.E.: An event modeling language (EML) to simulate use patterns in built environments. In: Proceedings of the Symposium on Simulation for Architecture and Urban Design, Toronto, pp. 189–196 (2017)
Shen, W., Shen, Q., Sun, Q.: Building information modeling-based user activity simulation and evaluation method for improving designer-user communications. Autom. Constr. 21, 148–160 (2012)
Simon, H.A.: The Sciences of the Artificial. MIT Press, Cambridge (1969)
Singh, S., Kapadia, M., Faloutsos, P., Reinman, G.: An open framework for developing, evaluating, and sharing steering algorithms. In: Egges, A., Geraerts, R., Overmars, M. (eds.) MIG 2009. LNCS, vol. 5884, pp. 158–169. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-10347-6_15
Singh, S., Kapadia, M., Hewlett, B., Reinman, G., Faloutsos, P.: A modular framework for adaptive agent-based steering. In: Symposium on Interactive 3D Graphics and Games, pp. 141–150. ACM (2011)
Turner, A., Doxa, M., O’Sullivan, D., Penn, A.: From isovists to visibility graphs: a methodology for the analysis of architectural space. Environ. Planning B: Planning Des. 28(1), 103–121 (2001)
Usman, M., Schaumann, D., Haworth, B., Berseth, G., Kapadia, M., Faloutsos, P.: Interactive spatial analytics for human-aware building design. In: Proceedings of the 11th Annual International Conference on Motion, Interaction, and Games, p. 13. ACM (2018)
Woodbury, R.: Elements of Parametric Design. Taylor & Francis Group, Abingdon (2010)
Yan, W., Culp, C., Graf, R.: Integrating BIM and gaming for real-time interactive architectural visualization. Automa. Constr. 20(4), 446–458 (2011)
Yan, W., Kalay, Y.E.: Simulating the behavior of users in built environments. J. Archit. Plann. Res. 21(4), 371–384 (2004)
Acknowledgement
This research has been partially funded by grants from the NSERC Discovery and Create programs, ISSUM and in part by NSF IIS-1703883, NSF S&AS-1723869 and the Murray Fellowship.
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Usman, M., Schaumann, D., Haworth, B., Kapadia, M., Faloutsos, P. (2019). Joint Parametric Modeling of Buildings and Crowds for Human-Centric Simulation and Analysis. In: Lee, JH. (eds) Computer-Aided Architectural Design. "Hello, Culture". CAAD Futures 2019. Communications in Computer and Information Science, vol 1028. Springer, Singapore. https://doi.org/10.1007/978-981-13-8410-3_20
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DOI: https://doi.org/10.1007/978-981-13-8410-3_20
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