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MAGS Project: Multi-agent GeoSimulation and Crowd Simulation

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Spatial Information Theory. Foundations of Geographic Information Science (COSIT 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2825))

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Abstract

Geosimulation aims at modeling systems at the scale of individuals and entity- level units of the built environment and provides a new way to simulate how geographic spaces can be used by their future users, particularly in urban environments. In the MAGS Project we are developing a generic software platform for the creation of Multi-Agent Geo-Simulations involving several thousand agents interacting in virtual geographic environments (in 2D and 3D) and endowed with spatial cognitive capabilities (perception, navigation, reasoning). Our approach is currently applied to the simulation of crowd behaviors in urban environments.

The MAGS project is sup ported by GEOIDE, the Network of Centers of Excellence in Geomatics, Defense Research and Development-Valcartier, the Natural Science and Engineering Council of Canada and le Fonds Québécois de Recherche sur la nature et les technologies

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References

  1. Beckman, R.J. (ed.): The Dallas – Fort Worth Study., Los Alamos unclassified report LAUR-97-4502LANL, Los Alamos National Laboratory, Los Alamos NM (1997), available at http://transims.tsasa.lanl.gov/

  2. De Floriani, L., Magillo, P.: Visibility algorithms on DTMs. International Journal of Geographic Information Systems 8(1), 13–41 (1994)

    Article  Google Scholar 

  3. Discreet: http://www.discreet.com/products/3dsmax/, (Last visit March 2003)

    Google Scholar 

  4. Dodge, M., Doyle, S., Smith, A., Fleetwood, S.: Towards the Virtual City: VR & Internet GIS for Urban Planning, Virtual Reality and Geographical Information Systems Workshop, Birkbeck College (1998)

    Google Scholar 

  5. Epstein, S.L., Moulin, B., Chaker, W., Glasgow, J., Gancet, J.: Pragmatism and spatial layout design. In: Montello, D.R. (ed.) COSIT 2001. LNCS, vol. 2205, pp. 189–205. Springer, Heidelberg (2001)

    Google Scholar 

  6. Ettema, D., Timmermans, H.: Activity Based Approaches to Travel Analysis, Elsevier Science, Amsterdam (1999)

    Google Scholar 

  7. Fotheringham, A.S., O’Kelly, M.E.: Spatial Interaction Models: Formulation and Applications. Kluwer Academic Publishers, Dordrecht (1989)

    Google Scholar 

  8. Frank, A.U., Bittner, S., Raubal, M.: Spatial and cognitive simulation with multi-agent systems. In: Montello, D.R. (ed.) COSIT 2001. LNCS, vol. 2205, pp. 124–139. Springer, Heidelberg (2001)

    Google Scholar 

  9. Franklin, W.R.: Applications of analytical cartography. Cartography and Geographic Information Systems 27(3), 225–237 (2000)

    Article  Google Scholar 

  10. Gibson, J.: The Ecological Approach to Visual Perception. Houghton Mifflin Company, Boston (1979)

    Google Scholar 

  11. Gimblett, H.R.: Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes. Oxford University Press, Oxford (2002)

    Google Scholar 

  12. Hacklay, M., O’Sullivan, D., Thurstain-Goldwin, M., Schelhorn, T.: So go downtown: simulating pedestrian movements in town centres. Environment and Planning B: Planning and Design 28(3), 343–359 (2001)

    Article  Google Scholar 

  13. Helbing, D., Farkas, I.J., Vicsek, T.: Simulating dynamic features of escape panic. Nature 407, 487–490 (2000)

    Article  Google Scholar 

  14. Helbing, D., Molnar, P., Schweitzer, F.: Computer simulation of pedestrian dynamics. In: Proceedings of the 3rd International Symposium of SFB 230, Evolution of Natural Structures, Sonderforschungsbereich, Stuttgart, Germany, pp. 229–234 (1999)

    Google Scholar 

  15. Helbing, D., Molnar, P., Farkas, I.J., Bolay, K.: Self-organizing pedestrian movements. Environment and Planning B: Planning and Design 28(3), 361–383 (2001)

    Article  Google Scholar 

  16. Intergraph: Geomedia Professional (2003), http://www.intergraph.com/gis/gmpro

  17. Jager, W., Popping, R., van de Sande, H.: Clustering and fighting in two-party crowds: simulating approach-avoidance conflict. Journal of Artificial Societies and Social simulationm,  4(3) (2001), http://jasss.soc.surrey.ac.uk/JASSS/4/3/7.html

  18. Jennings, N., O’Hare, G.: Foundations of Distributed Artificial Intelligence. Wiley, Chichester (1996)

    Google Scholar 

  19. Kerridge, J., Hine, J., Wigan, M.: Agent–based modelling of pedestrian movements: the questions that need to be asked. Environment and Planning B: Planning and Design 28(3), 327–341 (2001)

    Article  Google Scholar 

  20. Lee, D.B.: Retrospective on large-scale urban models. Journal of the American Planning Association 60, 35–40 (1994)

    Article  Google Scholar 

  21. Mark, D.M., Freksa, C., Hirtle, S.C., Lloyd, R., Tversky, B.: Cognitive models of geographic space. International Journal of Geographical Information Science 13(8), 747–774 (1999)

    Article  Google Scholar 

  22. Moss, S., Davidsson, P.: Multi-Agent-Based Simulation. In: Moss, S., Davidsson, P. (eds.) MABS 2000. LNCS (LNAI), vol. 1979, pp. 97–107. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  23. Moulin, B., Chaker, W., Gancet, J.: PADI-Simul, an agent-based software which simulates the behaviors of hundreds of actors in a geographic space. Journal on Computers, Environment and Urban Systems (2003) (to appear)

    Google Scholar 

  24. O’Sullivan, D., Torrens, P.: Cellular models of urban systems. In: Bandini, S., Worsch, T. (eds.) Theoretical and Practical Issues on Cellular Automata, June 2000, Springer, Heidelberg (2000), www.casa.ucl.ac.uk ; also available from Centre for Advanced Spatial Analysis, Working Paper 22, June 2000

    Google Scholar 

  25. Ray, C., Claramunt, C.: Atlas: A distributed system for the simulation of large-scale systems. In: Chen, S.-C., Voisard, A. (eds.) Proceedings of 10th ACM International Symposium On Advances In Geographic Information Systems, McLean, VA, pp. 155–162. ACM Press, New York (2002)

    Google Scholar 

  26. Righter, R., Walrand, J.C.: Distributed simulation of discrete event systems. Proceedings of the IEEE 77(1), 99–113 (1989)

    Article  Google Scholar 

  27. Sawyer, R.K.: Artificial societies: multiagent systems and the micro-macro link in sociological theory. Sociological Methods and Research 31(3), 325–363 (2003)

    Article  MathSciNet  Google Scholar 

  28. Schelhorn, T., O’Sullivan, D., Haklay, M., Thustain-Goodwin, M.: STREETS: An agentbased pedestrian model, CASA Working Paper 9 (1999), www.casa.ucl.ac.uk

  29. Schillo, M., Fischer, K., Klein, C.T.: The micro-macro link in DAI and sociology. In: Moss, S., Davidsson, P. (eds.) MABS 2000. LNCS (LNAI), vol. 1979, pp. 133–148. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  30. Stam, J.: Interacting with Smoke and Fire in Real Time. Communications of the ACM 43(7), 76–83 (2000)

    Article  Google Scholar 

  31. Torrens, P.M.: Can geocomputation save urban simulation? Throw some agents in the mixture, simmer and wait, CASA Working Paper 32 (2001), www.casa.ucl.ac.uk

  32. Weiss, G. (ed.): Multi-Agent systems. MIT Press, Cambridge (1999)

    Google Scholar 

  33. Wolfram, S.: Cellular Automata and Complexity: Collected papers. Addison-Wesley, Reading (1994)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science Department and Center for Research in Geomatics, Laval University, Ste Foy, QC, G1K 7P4, Canada

    Bernard Moulin, Walid Chaker, Jimmy Perron, Patrick Pelletier, Jimmy Hogan & Edouard Gbei

Authors
  1. Bernard Moulin
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  2. Walid Chaker
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  3. Jimmy Perron
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  4. Patrick Pelletier
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  5. Jimmy Hogan
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  6. Edouard Gbei
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Editor information

Editors and Affiliations

  1. Austrian Research Centers Department of Information Technology and Telematics,  

    Walter Kuhn

  2. Department of Spatial Information Science and Engineering, University of Maine, 04473, Orono, ME, USA

    Michael F. Worboys

  3. Department of Geography, University of Zürich,  

    Sabine Timpf

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© 2003 Springer-Verlag Berlin Heidelberg

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Moulin, B., Chaker, W., Perron, J., Pelletier, P., Hogan, J., Gbei, E. (2003). MAGS Project: Multi-agent GeoSimulation and Crowd Simulation. In: Kuhn, W., Worboys, M.F., Timpf, S. (eds) Spatial Information Theory. Foundations of Geographic Information Science. COSIT 2003. Lecture Notes in Computer Science, vol 2825. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39923-0_11

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  • DOI: https://doi.org/10.1007/978-3-540-39923-0_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20148-9

  • Online ISBN: 978-3-540-39923-0

  • eBook Packages: Springer Book Archive

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