Cellular Automata Model of Dyads Dynamics in a Pedestrian Flow by Rigid Body Approximation

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• 关键词：Cellular automata ; Pedestrian ; Crowd dynamics ; Group ; Dyad
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9863
• 期：1
• 页码：365-375
• 全文大小：584 KB
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  10.Bandini, S., Manzoni, S., Mauri, G., Redaelli, S., Vanneschi, L., Bandini, S., Manenti, L., Manzoni, S.: Generation of pedestrian groups distributions with probabilistic cellular automata. In: Sirakoulis, G.Ch., Bandini, S. (eds.) ACRI 2012. LNCS, vol. 7495, pp. 299–308. Springer, Heidelberg (2012)CrossRef
  
• 作者单位：Kenichiro Shimura (16)
  Stefania Bandini (16) (17)
  Katsuhiro Nishinari (16)
  
  16. Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1, Komaba, Meguro-Ku, Tokyo, 153-8904, Japan
  17. Department of Informatics Systems and Communication, The University of Milano Bicocca, Viale Sarca 336 - U14, 20126, Milan, Italy
  
• 丛书名：Cellular Automata
• ISBN：978-3-319-44365-2
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9863

文摘

In this study, pedestrian flow considering group especially for dyads is modelled in cellular automata (CA). Rigid body approximation is made based on the assumption of that the dyads are bonded with strong psychophysical relationship and have strong intention to stay together. Multi cell CA is applied for dyads and transition rules associating to their stress reducing behaviour are designed. Simulations are carried out to reproduce pedestrian flow in a pavement. Investigations are carried out to clarify how proportion of dyad and pedestrian density affect the pedestrian flow and spatial pattern of dyads. Although it has been known that dyads keeps line-abreast pattern at low density flow and river-like pattern at high density flow by observation study, but this is the first study which considers the detailed mechanisms to reproducing such phenomena by modelling and simulation.