Table of Contents Author Guidelines Submit a Manuscript
Discrete Dynamics in Nature and Society
Volume 2013 (2013), Article ID 891048, 8 pages
Research Article

Transit Station Congestion Index Research Based on Pedestrian Simulation and Gray Clustering Evaluation

Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing 100124, China

Received 2 September 2013; Accepted 13 November 2013

Academic Editor: Geert Wets

Copyright © 2013 Shu-wei Wang 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. S. J. Older, Movement of Pedestrians on Footways in Shopping Streets, vol. 10, Traffic Engineering & Control, London, UK, 1968.
  2. 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
  3. J. J. Fruin, Pedestrian Planning and Design, Metropolitan Association of Urban Designers and Environmental Planners, New York, NY, USA, 1971.
  4. Transportation Research Board: Highway Capacity Manual, National Research Council, Washington, DC, USA, 1994.
  5. P. N. Seneviratne and J. F. Morrall, “Analysis of factors affecting the choice of route of pedestrians,” Transportation Planning & Technology, vol. 10, no. 2, pp. 147–159, 1985. View at Publisher · View at Google Scholar · View at Scopus
  6. Y. Tanaboriboon, S. S. Hwa, and C. H. Chor, “Pedestrian characteristics study in Singapore,” Journal of Transportation Engineering, vol. 112, no. 3, pp. 229–235, 1986. View at Google Scholar · View at Scopus
  7. S. P. Hoogendoorn, “Normative pedestrian flow behaviors,” LVV rapport, VK 2001.002, Transportation and Traffic Engineering Section, Delft University of Technology, Delft, The Netherlands, 2001. View at Google Scholar
  8. S. P. Hoogendoorn, “Pedestrian flow modeling by adaptive control,” in Proceedings of the 83th Transportation Research Board Annual Meeting, Washington, DC, USA, 2004.
  9. S. P. Hoogendoorn and P. H. L. Bovy, “Normative pedestrian behavior theory and modeling,” in Proceedings of the 15th International Symposium on Transportation and Traffic Theory, pp. 219–245, Adelaide, Austral, July 2002.
  10. S. P. Hoogendoorn, “Pedestrian travel behavior in walking areas by subjectiveutility optimization,” in Proceedings of the 81th Transportation Research Board Annual Meeting, Washington, DC, USA, January 2002.
  11. K. Kitazawa and M. Batty, “Pedestrian behaivour modelling: an applicationto retail movements using a Genetic Algorithm,” in Proceedings of the 7th International Conference on Design & Decision Support Systems in Architecture and Urban Planning, Eindhoven, the Netherlands, July 2004.
  12. T. Schelhorn, D. O’Sullivan, M. Haklay, and M. Thurstain-Goodwin, “STREETS: an agent-basedpedestrianmodel,” in Proceedings of the 6th International Conference Computers in urban planning and urban management on the edge of the millenium (CUPUM '99), FrancoAngeli, Venice, Italy, 1999.
  13. J. Desyllas and E. Duxbury, “Planning for movement: measuring and modelling pedestrian flows in cities,” in Proceedings of the Royal Institution of Chartered Surveyors (RICS '00) Conference, London, UK, 2000.
  14. Y.-I. Kwon, S. Morichi, and T. Yai, “Analysis of pedestrian behavior and planning guidelines with mixed traffic for narrow urban streets,” in Proceedings of the 77th Transportation Research Board, Washington, DC, USA, 1998.
  15. J. Hine, “Pedestrian travel experiences: assessing the impact of traffic on behaviour and perceptions of safety using an in-depth interview technique,” Journal of Transport Geography, vol. 4, no. 3, pp. 179–199, 1996. View at Publisher · View at Google Scholar · View at Scopus
  16. A. Peter Thompson, Developing new techniques for modeling crowd movement [Ph.D. thesis], University of Edinburgh, Edinburgh, UK, 1994.
  17. P. G. Gipps and B. Marksjö, “A micro-simulation model for pedestrian flows,” Mathematics and Computers in Simulation, vol. 27, no. 2-3, pp. 95–105, 1985. View at Publisher · View at Google Scholar · View at Scopus
  18. S. P. Hoofendoorn, “Wayfinding under uncertainty in continuous time and space by dynamic programming,” in Proceedings of the 13th Mini-EURO Conference, vol. 6, pp. 71–76, 2002.