Abstract
This chapter presents Crowd-Z (CZ): a user-friendly framework for crowd simulations (CS) in any floor-plans. The crowd dynamics component of CZ is a straightforward agent-based model. Such CSs can be carried out at every stage of architectural or urban design process: from early sketches to the final blue-prints. Most importantly, CZ accepts the initial input in practically any form, e.g.: pre-processed drawings produced by Computer-Aided Design (CAD) software, digital images, free-hand drawings, etc. Selected methods of acquisition of the CS environment are demonstrated and illustrative with practical examples. Finally CZ is evaluated against commercially available software and with some “classic” CS experiments.
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References
Bandini S, Vizzari G (2007) Regulation function of the environment in agent-based simulation. In: Environments for multi-agent systems III, Springer, pp 157–169
Blue V, Adler J (1999) Cellular automata microsimulation of bidirectional pedestrian flows. Transp Res Rec J Transp Res Board 1678:135–141
Blue VJ, Adler JL (2002) Flow capacities from cellular automata modeling of proportional splits of pedestrians by direction. In: Pedestrian and evacuation dynamics, pp 115–122
Burstedde C, Klauck K, Schadschneider A, Zittartz J (2001) Simulation of pedestrian dynamics using a two-dimensional cellular automaton. Physica A 295(3):507–525
Chavey D (1989) Tilings by regular polygons II: A catalog of tilings. Comput Math Appl 17(1–3):147–165
Chraibi M, Wagoum AUK, Schadschneider A, Seyfried A (2011) Force-based models of pedestrian dynamics. NHM 6(3):425–442
Gipps PG (1987) Simulation of pedestrian traffic in buildings. Technical report
Helbing D, Molnar P (1995) Social force model for pedestrian dynamics. Phys Rev E 51(5):4282
Hirai K, Tarui K (1977) A simulation of the behavior of a crowd in panic. Syst Control, Japan
Kepler J (1938) Harmonice mundi (linz, 1619). English edition: Harmonies of the world, Book 5
Kerridge J, Hine J, Wigan M (2001) Agent-based modelling of pedestrian movements: the questions that need to be asked and answered. Environ Plann 28(3):327–342
Kirchner A, Schadschneider A (2002) Simulation of evacuation processes using a bionics-inspired cellular automaton model for pedestrian dynamics. Physica A 312(1):260–276
Klüpfel H, Meyer-König T, Schreckenberg M (2003) Comparison of an evacuation exercise in a primary school to simulation results. In: Traffic and Granular Flow?01, Springer, pp 549–554
Kretz T (2009) Pedestrian traffic: on the quickest path. J Stat Mech Theory Exp 2009(03):P03012
Kretz T, Schreckenberg M (2006) The fast-model. In: Cellular Automata, Springer, pp 712–715
Kretz T, Grünebohm A, Schreckenberg M (2006) Experimental study of pedestrian flow through a bottleneck. J Stat Mech: Theory Exp 2006(10):P10014
Kretz T, Hengst S, Vortisch P (2008) Pedestrian flow at bottlenecks-validation and calibration of vissim’s social force model of pedestrian traffic and its empirical foundations. arXiv:08051788
Kretz T, Bönisch C, Vortisch P (2010) Comparison of various methods for the calculation of the distance potential field. In: Pedestrian and evacuation dynamics 2008, Springer, pp 335–346
Kretz T, Große A, Hengst S, Kautzsch L, Pohlmann A, Vortisch P (2011) Quickest paths in simulations of pedestrians. Adv Complex Syst 14(05):733–759
Liddle J, Seyfried A, Klingsch W, Rupprecht T, Schadschneider A, Winkens A (2009) An experimental study of pedestrian congestions: influence of bottleneck width and length. arXiv:09114350
Löhner R (2010) On the modeling of pedestrian motion. Appl Math Model 34(2):366–382
Rajewsky N, Santen L, Schadschneider A, Schreckenberg M (1998) The asymmetric exclusion process: Comparison of update procedures. J Stat Phys 92(1–2):151–194
Rogsch C, Schadschneider A, Seyfried A (2009) Simulation of human movement by cellular automata models using different update schemes. In: Proceedings of the 4th International Symposium on Human Behaviour in Fire 2009, 13–15 July 2009, Interscience Communication Ltd, London, 2009. ISBN: 978-0-9556548-3-1. -S. 543–548. http://juser.fz-juelich.de/record/6763, record converted from VDB: 12.11.2012
Schadschneider A, Klingsch W, Klüpfel H, Kretz T, Rogsch C, Seyfried A (2009) Evacuation dynamics: empirical results, modeling and applications. In: Encyclopedia of complexity and systems science. Springer, pp 3142–3176
Schneider V, Könnecke R (2001) Simulating evacuation processes with aseri. In: Schreckenberg M, Sharma, SD (eds) Pedestrian and Evacuation Dynamics, pp 301–313
Schultze-Naumburg P (1909) Kulturarbeiten. band iv: Städtebau. 2. Auflage München
Seyfried A, Passon O, Steffen B, Boltes M, Rupprecht T, Klingsch W (2009) New insights into pedestrian flow through bottlenecks. Transp Sci 43(3):395–406
Shi J, Ren A, Chen C (2009) Agent-based evacuation model of large public buildings under fire conditions. Automat Constr 18(3):338–347
Weidmann U, Weidmann U, Weidmann U, Weidmann U (1993) Transporttechnik der Fussgänger: Transporttechnische Eigenschaften des Fussgängerverkehrs (Literaturauswertung). ETH, IVT
Willard S (2004) General topology. Courier Corporation
Yu W, Chen R, Dong L, Dai S (2005) Centrifugal force model for pedestrian dynamics. Phys Rev E 72(2):026112
Zawidzki M (2014) Interactive demonstrations of Crowd-Z. http://zawidzki.com/Crowd-Z/, an interactive demonstration
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Zawidzki, M. (2016). Crowd-Z. In: Discrete Optimization in Architecture. SpringerBriefs in Architectural Design and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-1106-1_3
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DOI: https://doi.org/10.1007/978-981-10-1106-1_3
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