skip to main content
10.1145/1878537.1878556acmotherconferencesArticle/Chapter ViewAbstractPublication PagesspringsimConference Proceedingsconference-collections
research-article

Simulation of pedestrian behavior in intermodal facilities

Published: 11 April 2010 Publication History

Abstract

Planning pedestrian environments requires that designers understand how pedestrians interact with their environment and one another. With improved knowledge, the design and planning of pedestrian areas can provide improvements in safety, throughput, and utility. This paper provides an overview of the Intermodal Simulator for the Analysis of Pedestrian Traffic (ISAPT). It focuses on the methodology and approaches used in simulation of the pedestrian traffic, including route planning and navigation.

References

[1]
Daamen, W., P. H. L Bovy, and S. P. Hoogendoorn, 2001, "Modelling Pedestrians in Transfer Stations." In Pedestrian and Evacuation Dyanmics, Schreckenberg, M., Sharma, S. D. (Eds.), Springer Verlag, Duisburg, 59--74.
[2]
Jiang, B., 1999, "SimPed: simulating pedestrian flows in a virtual urban environment," Journal of Geographic Information and Decision Analysis, 3 (1) 21--30.
[3]
Monteleone, M. F., N. Veraart, S. Chough, and W. Aviles, 2008, "Pedestrian Simulation Modeling Study for World Trade Center Memorial," Transportation Research Record: Journal of the Transportation Research Board, 2073, 49--57.
[4]
Parker, D. C., S. M. Manson, M. A. Janssen, M. J. Hoffmann and P. Deadman, 2003, "Multi-agent systems for the simulation of land-use and landcover change: a review," Annals of the Association of American Geographers, 93(2), 314--337.
[5]
Borgers, A. and H. Timmermans, 1986, "A model of pedestrian route choice and demand for retail facilities within inner-city shopping areas," Geographical Analysis, 18 (2) 115--128.
[6]
Daamen, W., S. P. Hoogendoorn, and M. C. Campanella, 2009, "Ticket reservation posts on train platforms: an assessment using the microscopic pedestrian simulation tool Nomad," Proc. of Transporation Research Board, Washington, D.C., Jan. 11--14, paper no. 09-1853 CD-ROM.
[7]
B. Raney, N. Cetin, A. Vollmy, and K. Nagel, 2002, "Large Scale Multi-agent Transportation Simulations," Computer Physics Communications, 147, 559--564.
[8]
Hoogendoorn, S. P. and P. H. L, Bovy, 2004, "Pedestrian route-choice and activity scheduling theory and models", Transportation Research Part B 38: 169--190.
[9]
Yagi, S. and A. Mohammadian, 2008, "Modeling Daily Activity-Travel Tour Patterns Incorporating Activity Scheduling Decision Rules", Research Record: Journal of the Transportation Research Board, 2076, 123--131.
[10]
Lam, W. and H. Huang, 2003, "Combined Activity/Travel Choice Models: Time-Dependent and Dynamic Versions", Networks and Spatial Economics, 3, 323--347.
[11]
Cheung, C. Y., and W. H. K. Lam, 1998, "Pedestrian Route Choices between Escalator and Stairway in MTR Stations", Journal of Transportation Engineering, 1998, 124(3), 147--159.
[12]
Pelechano, N., Allbeck, J. M. and Badler, N. I., 2007, "Controlling Individual Agents in High-Density Crowded Environments," Proc. of ACM SIGGRAPH/Eurographics symposium on Computer Animation, San Diego, CA, 99--108.
[13]
Kirchner, A., Namazi, A., Nishinari, K. and Schadschneider, A., 2003, "Role of Conflicts in the Floor Field Cellular Automaton Model for Pedestrian Dynamics. 2nd International Conference on Pedestrians and Evacuation Dynamics, 51--62.
[14]
Lamarche, F., and Donikian, S., 2004, "Crowd of Virtual Humans: a New Approach for Real Time Navigation in Complex and Structured Environments," Computer Graphics Forum, 23(3), 509--518.
[15]
Soteris, S., and S. Yiorgos, 2006, "Crowd Self-Organization, Streaming and Short Path Smoothing," Proc. of WSCG'2006, 14th Int. Conf. in Central Europe on Computer Graphics, Visualization and Computer Vision, Plzen, Czech Republic, 33--40.
[16]
Helbing, D., I. Farkas, and T. Vicsek, 2000, "Simulating Dynamical Features of Escape Panic," Nature, 407:487--490.
[17]
Williams, S, and D. Huang, 2006, "A Group Force Mobility Model" The 9th Communications and Networking Simulation Symposium.
[18]
Kirchner, A., A. Namazi, K. Nishinari, and A. Schadschneider, 2003, "Role of Conflicts in the Floor Field Cellular Automaton Model for Pedestrian Dynamics," Proc. of the 2nd Inter. Conference on Pedestrians and Evacuation Dynamics, 51--62.
[19]
Blue, V. J., and J. L. Adler, 2001, "Cellular automata microsimulation for modeling bidirectional pedestrian walkways," Trans. Res. Part B: Methodological, 35(3), 293--312.
[20]
Bierlaire, M., G. Antonini, and M. Weber, 2003, "Behavioral dynamics for pedestrians." in Moving through nets: the physical and social dimensions of travel, Axhausen, K. (Eds.), Elsevier, 1--18.
[21]
Antonini, G., M. Bierlaire, and M. Weber, 2006, "Discrete choice models of pedestrian walking behavior". Transportation Research Part B: Methodological, 40(8):667--687.
[22]
Robin, T., G. Antonini, M. Bierlaire, and J. Cruz, 2009, "Specification, estimation and validation of a pedestrian walking behavior model," Transportation Research Part B: Methodological, 43(1), 36--56.
[23]
Usher, J. M., E. Kolstad, and L. Strawderman, "Simulating Pedestrian Navigation Behavior Using a Probabilistic Model," Proc. of the 2009 Industrial Engineering Research Conference, Miami, FL, June 2009, CD-ROM.
[24]
Usher, J. M. and L. Strawderman, 2008, "Emergent Crowd Behavior from the Microsimulation of Individual Pedestrians," Proc. of the 2008 Industrial Engineering Research Conference, Vancouver, BC, May, CD-ROM.

Cited By

View all
  • (2014)A bio-inspired multi-camera system for dynamic crowd analysisPattern Recognition Letters10.1016/j.patrec.2013.11.02044:C(141-151)Online publication date: 15-Jul-2014

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
SpringSim '10: Proceedings of the 2010 Spring Simulation Multiconference
April 2010
1726 pages
ISBN:9781450300698

Sponsors

  • SCS: Society for Modeling and Simulation International

In-Cooperation

Publisher

Society for Computer Simulation International

San Diego, CA, United States

Publication History

Published: 11 April 2010

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. activity scheduling
  2. pedestrian navigation behavior
  3. route choice

Qualifiers

  • Research-article

Funding Sources

Conference

SpringSim '10
Sponsor:
  • SCS
SpringSim '10: 2010 Spring Simulation Conference
April 11 - 15, 2010
Florida, Orlando

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)9
  • Downloads (Last 6 weeks)0
Reflects downloads up to 02 Mar 2025

Other Metrics

Citations

Cited By

View all
  • (2014)A bio-inspired multi-camera system for dynamic crowd analysisPattern Recognition Letters10.1016/j.patrec.2013.11.02044:C(141-151)Online publication date: 15-Jul-2014

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media