Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2015, Article ID 308261, 6 pages
http://dx.doi.org/10.1155/2015/308261
Research Article

Modeling Unidirectional Pedestrian Movement: An Investigation of Diffusion Behavior in the Built Environment

1School of Architecture, Harbin Institute of Technology, Harbin 150001, China
2Center for Green Buildings and Cities, Graduate School of Design, Harvard University, Cambridge, MA 02138, USA
3School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150091, China

Received 3 June 2015; Revised 9 August 2015; Accepted 25 August 2015

Academic Editor: Valery Sbitnev

Copyright © 2015 Ying Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Y. Liu, D. Liu, N. Badler, and A. Malkawi, “Analysis of evacuation performance of merging points in stadiums based on crowd simulation,” in Proceedings of the 12th Conference of the International Building Performance Simulation Association (IBPSA, BS '11), pp. 2651–2658, 2011.
  2. S. B. Young, “Evaluation of pedestrian walking speeds in airport terminals,” Transportation Research Record, vol. 1674, no. 1, pp. 20–26, 1999. View at Publisher · View at Google Scholar · View at Scopus
  3. C. McPhail and R. T. Wohlstein, “Individual and collective behaviors within gatherings, demonstrations, and riots,” Annual Review of Sociology, vol. 9, no. 1, pp. 579–600, 1983. View at Publisher · View at Google Scholar
  4. Transportation Research Board, “Highway capacity manual,” Special Report 204, TRB, Washington, DC, USA, 1985. View at Google Scholar
  5. J. J. Fruin, Pedestrian Planning and Design, no. 206, 1971.
  6. J. L. Pauls and B. K. Jones, “Building evacuation: research methods and case studies,” in Fires and Human Behavior, pp. 251–275, 1980. View at Google Scholar
  7. J. Pauls, “The movement of people in buildings and design solutions for means of egress,” Fire Technology, vol. 20, no. 1, pp. 27–47, 1984. View at Publisher · View at Google Scholar · View at Scopus
  8. P. A. Thompson and E. W. Marchant, “Testing and application of the computer model ‘SIMULEX’,” Fire Safety Journal, vol. 24, no. 2, pp. 149–166, 1995. View at Publisher · View at Google Scholar · View at Scopus
  9. E. R. Galea and J. M. Perez Galparsoro, “A computer-based simulation model for the prediction of evacuation from mass-transport vehicles,” Fire Safety Journal, vol. 22, no. 4, pp. 341–366, 1994. View at Publisher · View at Google Scholar · View at Scopus
  10. G. K. Still, Crowd dynamics [Ph.D. thesis], University of Warwick, Coventry, UK, 2000.
  11. A. Penn and A. Turner, “Space syntax based agent simulation,” in Proceedings of the 1st International Conference on Pedestrian and Evacuation Dynamics, Essen, Germany, 2001.
  12. N. Shiwakoti, M. Sarvi, and G. Rose, “Modelling pedestrian behaviour under emergency conditions—state-of-the-art and future directions,” in Proceedings of the 31st Australasian Transport Research Forum (ATRF '08), pp. 457–473, 2008.
  13. J. Tolujew and F. Alcalá, “A mesoscopic approach to modeling and simulation of pedestrian traffic flows,” in Proceedings of the 18th European Simulation Multi-Conference, pp. 123–128, 2004.
  14. D. Helbing, M. Isobe, T. Nagatani, and K. Takimoto, “Lattice gas simulation of experimentally studied evacuation dynamics,” Physical Review E, vol. 67, no. 6, Article ID 067101, 2003. View at Google Scholar
  15. D. Helbing, “A fluid-dynamic model for the movement of pedestrians,” Complex Systems, vol. 6, no. 5, pp. 391–415, 1992. View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  16. R. L. Hughes, “The flow of human crowds,” Annual Review of Fluid Mechanics, vol. 35, pp. 169–182, 2003. View at Publisher · View at Google Scholar
  17. X. Zheng, T. Zhong, and M. Liu, “Modeling crowd evacuation of a building based on seven methodological approaches,” Building and Environment, vol. 44, no. 3, pp. 437–445, 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. H. W. Hamacher, K. Leiner, and S. Ruzika, “Quickest cluster flow problems,” in Pedestrian and Evacuation Dynamics, pp. 327–336, Springer, New York, NY, USA, 2011. View at Publisher · View at Google Scholar
  19. C. W. Reynolds, “Flocks, herds and schools: a distributed behavioral model,” in Proceedings of the 14th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH '87), pp. 25–34, ACM, 1987. View at Publisher · View at Google Scholar
  20. R. M. Colombo and M. D. Rosini, “Pedestrian flows and non-classical shocks,” Mathematical Methods in the Applied Sciences, vol. 28, no. 13, pp. 1553–1567, 2005. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  21. D. Helbing, I. Farkas, and T. Vicsek, “Simulating dynamical features of escape panic,” Nature, vol. 407, no. 6803, pp. 487–490, 2000. View at Publisher · View at Google Scholar · View at Scopus
  22. G. J. Perez, G. Tapang, M. Lim, and C. Saloma, “Streaming, disruptive interference and power-law behavior in the exit dynamics of confined pedestrians,” Physica A: Statistical Mechanics and its Applications, vol. 312, no. 3-4, pp. 609–618, 2002. View at Publisher · View at Google Scholar · View at Scopus
  23. Y. Bie, Z. Liu, D. Ma, and D. Wang, “Calibration of platoon dispersion parameter considering the impact of the number of lanes,” Journal of Transportation Engineering, vol. 139, no. 2, pp. 200–207, 2013. View at Publisher · View at Google Scholar · View at Scopus
  24. Y. Bie, D. Wang, and X. Qu, “Modelling correlation degree between two adjacent signalised intersections for dynamic subarea partition,” IET Intelligent Transport Systems, vol. 7, no. 1, pp. 28–35, 2013. View at Publisher · View at Google Scholar · View at Scopus