Modeling Pedestrian Dynamics with Adaptive Cellular Automata

This work presents a proposal for modeling pedestrian dynamics by means of Adaptive Cellular Automata, a dynamically adjustable approach that uses an underlying cellular automata and a set of adaptive functions intended to reconfigure the automata internal structure and behavior according to observable events and rules, making them adaptable to environment changes.

• Record URL:
  • https://doi.org/10.1016/j.procs.2018.04.165
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1877050918305313
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770509
• Supplemental Notes:
  • © 2018 Djalma Padovani et al. Published by Elsevier B.V. 2nd International Workshop on Adaptive Technology (WAT 2018).
• Authors:
  • Padovani, Djalma
  • Neto, João José
  • Massa Cereda, Paulo Roberto
• Publication Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: pp 1120-1127
• Serial:
  • Procedia Computer Science
  • Volume: 130
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0509
  • Serial URL: http://www.sciencedirect.com/science/journal/18770509
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Adaptive control; Cellular automata; Crowds; Pedestrian movement; Pedestrian safety
• Subject Areas: Operations and Traffic Management; Pedestrians and Bicyclists;

Filing Info

• Accession Number: 01678061
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 20 2018 9:21AM