Computer Science ›› 2020, Vol. 47 ›› Issue (2): 88-94.doi: 10.11896/jsjkx.190500055
• Computer Graphics & Multimedia • Previous Articles Next Articles
ZHONG Zhen-wei,JI Qing-ge
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[1]HENDERSON L F.The statistics of crowd fluids[J].Nature,1971,229(5284):381-383. [2]PRESTES E,IDIART M A P,NEDEL L P.Simulating pedestrian behavior with potential fields[C]∥International Conference on Advances in Computer Graphics.2006:324-335. [3]BELTAIEF O,HADOUAJ S E,GHEDIRA K.Multi-agent simu-lation model of pedestrians crowd based on psychological theories[C]∥Interantional Conference on Logistics.Hammamet,IEEE,2011:150-156. [4]WOLFRAM S.Theory and Applications of Cellular Automata. [M]∥Theory and applications of cellular automata:World Scientific,1986. [5]TAJIMA Y,NAGATANI T.Scaling behavior of crowd flow outside a hall[J].Physica A,2001,292(1/2/3/4):545-554. [6]VAN DEN BERG J,LIN M,MANOCHA D.Reciprocal velocity obstacles for real-time multi-agent navigation[C]∥IEEE International Conference on Robotics and Automation,2008(ICRA2008).IEEE,2008:1928-1935. [7]ONDREJ J,PETTRE J,OLIVIER A H,et al.A synthetic-vision based steering approach for crowd simulation[J].ACM Tran-sactions on Graphics,2010,29(4):1. [8]HELBING D,MOLNAR P.Social force model for pedestrian dynamics[J].Physical Review E,1995,51(5):4282. [9]GAO Y,LUH P B,ZHANG H,et al.A modified social force model considering relative velocity of pedestrians[C]∥IEEE International Conference on Automation Science & Engineering.IEEE,2013. [10]HELBING D,FRAKAS I J,MOLNAR P,et al.Simulating dynamical features of escape panic[J].Nature,2000,407(6803):487-490. [11]SEYFRIED A,STEFFEN B,LIPPERT T.Basics of modelling the pedestrian flow[J].Physica A,2006,368(1):232-238. [12]PARISI D R,GILMAN M,MOLDOVAN H.A modification of the social force model can reproduce experimental data of pedes-trian flows in normal conditions[J].Physica A,2009,388(17):3600-3608. [13]CHEN T,YING Z G,SHEN S F,et al.Evacuation simulation and analysis of the relative velocity under social force model[J].Progress in Natural Science,2006,16(12):1606-1612. [14]LAKOBA T I,KAUP D J,FINKELSTEIN N M.Modifications of the Helbing-Molnar-Farkas-Vicsek social force model for pedestrian evolution[J].Simulation,2005,81(5):399-352. [15]APEL M.Simulation of Pedestrian Flows Based on the Social Force Model Using the Verlet Link Cell Algorithm[D].Poznan:Poznan University of Technology,2004. [16]JI Q G,HE H,WANG F C.Short-range social force model under density field[J].Computer Science,2015,42(6):12-17. [17]LI S S,QIAN D L,WANG J Z.An improved social force model considering pedestrians slowing down[J].Journal of Jilin University (Engineering Edition),2012,42(3):623-628. [18]QUINN M J,METOYER R A,HUNTER-ZAWORSKI K.Pa-rallel implementation of the social forces model[C]∥Proceedings of the Second International Conference in Pedestrian and Evacua-tion Dynamics.London:CMS Press,2003:63-74. [19]HELBING D,FARKAS I,VICSEK T.Simulation of pedestrian crowds in normal and evacuation situations[J].Pedestrian andEvacuation Dynamics,2002,21:21-58. [20]LIU B,LIU H,ZHANG H,et al.A social force evacuation model driven by video data[J].Simulation Modelling Practice and Theory,2018,84:190-203. [21]JI Q G,WANG F C,ZHU T.VPBS:A Velocity-Perception-Based SFM Approach for Crowd Simulation[C]∥International Conference on Virtual Reality & Visualization.IEEE,2017. [22]YUAN G,TAO C,LUH P B,et al.Simulation of Building Eva-cuation Considering Information Flow[M]∥Traffic and Granular Flow’13.2015. [23]HAO Y,XU Z,LIU Y,et al.A Graphical Simulator for Mode-ling Complex Crowd Behaviors[C]∥2018 22nd International Conference Information Visualisation (IV).IEEE Computer Society,2018. |
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