Situated cellular agents approach to crowd modeling and simulation

Cybernetics and Systems

Volumn 38, Issue 7, 2007, Pages 729-753

  Bandini, Stefania ^a   Federici, Mizar Luca ^b   Vizzari, Giuseppe ^a,b  

^a UNIVERSITY OF MILAN   (Italy)

^b UNIVERSITY OF MILANO BICOCCA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; DATA VISUALIZATION; LARGE SCALE SYSTEMS; MULTI AGENT SYSTEMS; PROJECT MANAGEMENT;

SIMULATION PROJECT TEAMS; SIMULATION RESULTS; SITUATED CELLULAR AGENTS MODELS;

CELLULAR ARRAYS;

EID: 34648826778     PISSN: 01969722     EISSN: 10876553     Source Type: Journal    
DOI: 10.1080/01969720701534141     Document Type: Conference Paper

References (35)

1. Balmer, M. and Nagel, K. 2006. Shape morphing of intersection layouts using curb side oriented driver simulation. In Innovations in design & decision support systems in architecture and Urban planning, edited by J.P. van Leeuwen and H.J. Timmermans. Berlin: Springer-Verlag, pp. 167-183.
2. Bandini, S., Celada, F., Manzoni, S., Puzone, R., and Vizzari, G. 2006a. Modeling the immune system with situated agents. In Proceedings of WIRN/NAIS 2005, Vol. 3931 of Lecture Notes in Computer Science, edited by B. Apolloni, M. Marinaro, G. Nicosia, and R. Tagliaferri. Berlin: Springer-Verlag, pp. 231-243.
3. Bandini, S., Manzoni, S., and Simone, C. 2002. Dealing with space in multi-agent systems: A model for situated MAS. In Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), New York: Bologna, Italy, ACM Press, pp. 1183-1190.
4. Bandini, S., Manzoni, S., and Vizzari, G. 2004. Crowd modeling and simulation: Towards 3D visualization. In Recent advances in design and decision support systems in architecture and urban planning, Dordrecht: Kluwer Academic Publisher, pp. 161-175.
5. Bandini, S., Manzoni, S., and Vizzari, G. 2006b. Towards a platform for multilayered multi-agent situated system based simulations: Focusing on field diffusion. Applied Artificial Intelligence 20(4-5): 327-351.
6. Bandini, S., Mauri, G., and Vizzari, G. 2006c. Supporting action-at-a-distance in situated cellular agents. Fundamenta Informaticae 69(3): 251-271.
7. Batty, M. 2001. Agent based pedestrian modeling (editorial). Environment and Planning B: Planning and Design 28: 321-326.
8. Batty, M., Desyllas, J., and Duxbury, E. 2003. The discrete dynamics of small-scale spatial events: Agent-based models of mobility in carnivals and street parades. International Journal of Geographical Information Science 17(7): 673-697.
9. Batty, M. and Hudson-Smith, A. 2005. Urban simulacra: From real to virtual cities, back and beyond. Architectural Design 75(6): 42-47.
10. Blue, V. J. and Adler, J. L. 2000a. Cellular automata microsimulation of bi-directional pedestrian flows. Transportation Research Record 1678: 135-141.
11. Blue, V. J. and Adler, J. L. 2000b. Modeling four-directional pedestrian flows. Transportation Research Record 1710: 20-27.
12. Camazine, S., Deneubourg, J.-L., Franks N. R., Sneyd, J., Theraulaz, G., and Bonabeau, E. (Eds.). 2001. Self-organization in biological systems. Princeton, New Jersey: Princeton University Press.
13. Campos, A. M. C., Canuto, A. M. P., and Fernandes, J. H. C. 2004. Towards a methodology for developing agent-based simulations: The MASim methodology. In 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), New York: ACM Press, pp. 1494-1495.
14. Dijkstra, J., Jessurun, J., de Vries, B., and Timmermans, H. J. P. 2006. Edited by Ana Bazzan, Brahim Chaib Draa, Franziska Klügl, Sascha Ossowski. Agent architecture for simulating pedestrians in the built environment. In Fourth International workshop on agents in traffic and transportation (AAMAS 2006), pp. 8-15.
15. Dijkstra, J., Van Leeuwen, J., and Timmermans, H. J. P. 2003. Evaluating design alternatives using conjoint experiments in virtual reality. Environment and Planning B 30(3): 357-367.
16. Edmonds, B. 2001. The use of models - making MABS more informative. In Multi-Agent-Based Simulation, Second International Workshop, MABS 2000, Boston, MA, July 2000, Revised and Additional Papers, Vol. 1979 of Lecture Notes in Computer Science, Berlin: Springer-Verlag, pp. 15-32.
17. Ferber, J. 1999. Multi-agent systems. London: Addison-Wesley.
18. Gloor, C., Stucki, P., and Nagel, K. 2004. Hybrid techniques for pedestrian simulations. In Cellular Automata, 6th International Conference on Cellular Automata for Research and Industry, ACRI 2004, Vol. 3305 of Lecture Notes in Computer Science, edited by P.M.A. Sloot, B. Chopard, and A.G. Hoekstra. Berlin: Springer-Verlag, pp. 581-590.
19. Helbing, D. 1991. A mathematical model for the behavior of pedestrians. Behavioral Science 36: 298-310.
20. Helbing, D. 1992. A Fluid-dynamic model for the movement of pedestrians. Complex Systems 6(5): 391-415.
21. Helbing, D., Schweitzer, F., Keltsch, J., and Molnár, P. 1997. Active walker model for the formation of human and animal trail systems. Physical Review E 56(3): 2527-2539.
22. Henein, C. M. and White, T. 2005. Agent-based modeling of forces in crowds. In Multi-Agent and Multi-Agent-Based Simulation, Joint Workshop MABS 2004, New York, NY, USA, July 19, 2004, Revised selected papers, Vol. 3415 of Lecture Notes in Computer Science, edited by P. Davidsson, B. Logan, and K. Takadama. Berlin: Springer-Verlag, pp. 173-184.
23. Klügl, F., Bazzan, A. L. C., and Wahle, J. 2003. Selection of information types based on personal utility: A testbed for traffic information markets. In The Second International Joint Conference on Autonomous Agents & Multiagent Systems, AAMAS 2003, July 14-18, 2003, Melbourne, Victoria, Australia, Proceedings, New York: ACM Press, pp. 377-384.
24. Marney, J. P. and Tarbert, H. F. E. 2000. Why do simulation? Towards a working epistemology for practitioners of the dark arts. Journal of Artificial Societies and Social Simulation 3(4).
25. North, M. J., Collier, N. T., and Vos, J. R. 2006. Experiences creating three implementations of the repast agent modeling toolkit. ACM Transactions on Modeling and Computer Simulation 16(1): 1-25.
26. Okazaki, S. 1979. A study of pedestrian movement in architectural space, Part 1: Pedestrian movement by the application of magnetic models. Transactions of A. I. J 283: 111-119.
27. Omicini, A. 2001. SODA: Societies and infrastructures in the analysis and design of agent-based systems. In Agent-Oriented Software Engineering: First International Workshop, AOSE 2000, Vol. 1957 of Lecture Notes in Computer Science, edited by P. Ciancarini and M. Wooldridge. Springer-Verlag, pp. 185-193.
28. Pavón, J. and Gómez-Sanz, J. J. 2003. Agent oriented software engineering with INGENIAS. In Multi-Agent Systems and Applications III, 3rd International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2003, Prague, Czech Republic, June 16-18, 2003, Proceedings, Vol. 2691 of Lecture Notes in Computer Science, edited by V. Marík, J. Müller, and M. Pechoucek. Berlin: Springer-Verlag, pp. 394-403.
29. Schadschneider, A., Kirchner, A., and Nishinari, K. 2002. CA approach to collective phenomena in pedestrian dynamics. In Cellular Automata, 5th International Conference on Cellular Automata for Research and Industry, ACRI 2002, Vol. 2493 of Lecture Notes in Computer Science, edited by S. Bandini, B. Chopard, and M. Tomassini. Berlin: Springer, pp. 239-248.
30. Schreckenberg, M. and Sharma, S. D. (Eds.). 2001. Pedestrian and evacuation dynamics. Berlin: Springer-Verlag.
31. Shannon, R. E. 1998. Introduction to the art and science of simulation. In Proceedings of the 1998 Winter Simulation Conference, IEEE Computer Society, pp. 7-14.
32. Toyama, M. C., Bazzan, A. L. C., and da Silva, R. 2006. An agent-based simulation of pedestrian dynamics: From lane formation to auditorium evacuation. In 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), edited by H. Nakashima, M.P. Wellman, G. Weiss, and P. Stone. New York: ACM press, pp. 108-110.
33. Willis, A., Gjersoe, N., Havard, C., Kerridge, J., and Kukla, R. 2004. Human movement behavior in urban spaces: Implications for the design and modeling of effective pedestrian environments. Environment and Planning B 31(6): 805-828.
34. Wolfram, S. 1986. Theory and applications of cellular automata. Singapore: World Scientific Press.
35. Zambonelli, F., Wooldridge, M. J., and Jennings, N. R. 2003. Developing multiagent systems: The GAIA methodology. ACM Transactions on Software Engineering and Methodology 12(3): 317-370.