Quantitative agent-based modeling of human interactions in space and time

Proceedings of the 4th Conference of the European Social Simulation Association, ESSA 2007

Volumn , Issue , 2007, Pages 623-637

  Helbing, Dirk ^a,b,c   Johansson, Anders ^a  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^b INSTITUTE FOR ADVANCED STUDY   (Hungary)

^c ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

AUTONOMOUS AGENTS; COMPUTATIONAL METHODS;

AGENT-BASED MODEL; COLLECTIVE BEHAVIOR; COLLECTIVE INTELLIGENCES; HUMAN INTERACTIONS; MACROSCOPIC SCALE; OPINION FORMATION; SELF ORGANIZATIONS; SOCIAL INTERACTIONS;

GAME THEORY;

EID: 68149102753     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (85)

1. W. Weidlich and G. Haag, Concepts and Models of a Quantitative Sociology. The Dynamics of Interacting Populations (Springer, Berlin, 1983).
2. D. Helbing, Quantitative Sociodynamics (Kluwer Academic, Dordrecht, 1995).
3. K. G. Troitzsch, U. Mueller, G. N. Gilbert, and J. E. Doran (eds.), Social Science Microsimulation (Springer, 1996).
4. J. M. Epstein and R. L. Axtell: Growing Artificial Societies: Social Science from the Bottom Up (Brookings Institution Press, 1996).
5. R. M. Axelrod: The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration (Princeton University, 1997).
6. W. B. G. Liebrand, A. Nowak, and R. Hegselmann (eds.) Computer Modeling of Social Processes (Sage, 1998).
7. Richard J. Gaylord and Louis J. D’Andria: Simulating Society: A Mathematica Toolkit for Modeling Socioeconomic Behavior (Springer, 1998).
8. G. Ballot and G. Weisbuch (eds.) Applications of Simulation to Social Sciences (Hermes Science, 2000).
9. N. Gilbert and K. G. Troitzsch: Simulation for the Social Scientist (Open University Press, 1999).
10. N. J. Saam and A. Harrer, JASSS 2(1), 2 (1999).
11. W. Thorngate, JASSS 3(1), 1 (2000).
12. W. Weidlich, Sociodynamics: A Systemic Approach to Mathematical Modelling in the Social Sciences (Harwood Academic, Amsterdam, 2000).
13. A. Lomi and E. R. Larsen (eds.), Dynamics of Organizations: Computational Modeling and Organizational Theories (AAAI Press, 2001).
14. D. Helbing, Behavioral Science 36, 298–310 (1991).
15. M. W. Macy and A. Flache, Proceedings of the National Academy of Sciences USA 99, Suppl. 3, 7229–7236 (2002).
16. F. Schweitzer, Brownian Agents and Active Particles: Collective Dynamics in the Natural and Social Sciences (Springer, 2003).
17. F. C. Billari, T. Fent, A. Prskawetz, and J. Scheffran (eds.) Agent-Based Computational Modelling (Physica, Heidelberg, 2006).
18. P. Davidsson, JASSS 5(1), 7 (2002).
19. R. Hegselmann and A. Flache, JASSS 1(3), 1 (1998).
20. F. S. Beltran, L. Salas, and V. Quera, JASSS 9(3), 5 (2006).
21. A. C. Harvey and A. Jaeger, J. Applied Econometrics 8(3), 231–247 (1993).
22. D. Challet, M. Marsili, and Y.-C. Zhang, Physica A 294(3/4), 514–524 (2001).
23. D. Fudenberg and J. Tirole, Game Theory (MIT Press, 1991).
24. M. J. Osborne and A. Rubinstein, A Course in Game Theory (MIT Press, 1994).
25. D. Helbing and P. Molnár, Physical Review E 51, 4282–4286 (1995).
26. D. Helbing, I. Farkas, and T. Vicsek, Physical Review Letters 84, 1240–1243 (2000).
27. P. Molnár, Modellierung und Simulation der Dynamik von Fußgängerströmen, (Shaker, Aachen, 1996).
28. A. Johansson, D. Helbing, and P. K. Shukla, Advances in Complex Systems, in print (2007).
29. B. D. Hankin and R. A. Wright, Operational Research Quarterly 9, 81–88 (1958).
30. S. J. Older, Traffic Engineering & Control 10, 160–163 (1968).
31. U. Weidmann, Transporttechnik der Fußgänger, (Institut für Verkehrsplanung, Transporttechnik, Straßen- und Eisenbahnbau, ETH Zürich, 1993).
32. M. R. Hill, Walking, Crossing Streets, and Choosing Pedestrian Routes (University of Nebraska, Lincoln, 1984).
33. M. Batty, Nature 388, 19–20 (1997).
34. J. J. Fruin, Designing for pedestrians: A level-of-service concept, in Highway Research Record, Number 355: Pedestrians, pp. 1–15 (Highway Research Board, Washington, D.C., 1971).
35. J. Pauls, Fire Technology 20, 27–47 (1984).
36. W. H. Whyte, City. Rediscovering the Center (Doubleday, New York, 1988).
37. D. Helbing, Verkehrsdynamik (Springer, Berlin, 1997).
38. D. Helbing, L. Buzna, A. Johansson, and T. Werner, Transportation Science 39(1), 1-24 (2005).
39. W. M. Predtetschenski and A. I. Milinski, Personenströme in Gebäuden – Berechnungsmethoden für die Projektierung – (Rudolf Müller, Köln-Braunsfeld, 1971).
40. Transportation Research Board, Highway Capacity Manual, Special Report 209 (Transportation Research Board, Washington, D.C., 1985).
41. S. J. Yuhaski Jr., J. M. Macgregor Smith, Queueing Systems 4, 319–338 (1989).
42. D. Garbrecht, Traffic Quarterly 27, 89–109 (1973).
43. N. Ashford, M. O’Leary, and P. D. McGinity, Traffic Engineering & Control 17, 207–210 (1976).
44. A. Borgers and H. Timmermans, Socio-Economic Planning Science 20, 25–31 (1986).
45. D. Helbing, Stochastische Methoden, nichtlineare Dynamik und quantitative Modelle sozialer Prozesse, Ph.D. thesis (University of Stuttgart, 1992, published by Shaker, Aachen, 1993).
46. D. Helbing, M. Isobe, T. Nagatani, and K. Takimoto, Physical Review E 67, 067101 (2003).
47. W. Daamen and S. P. Hoogendoorn, in Proceedings of the 82nd Annual Meeting at the Transportation Research Board (CDROM, Washington D.C., 2003).
48. M. Isobe, D. Helbing, and T. Nagatani, Physical Review E 69, 066132 (2004).
49. A. Seyfried, B. Steffen, W. Klingsch, and M. Boltes, J. Stat. Mech. P10002 (2005).
50. T. Kretz, M. Wölki, and M. Schreckenberg, J. Stat. Mech. P02005 (2006).
51. L. F. Henderson, Transportation Research 8, 509–515 (1974).
52. R. L. Hughes, Transportation Research B, in print (2001).
53. D. Helbing, Complex Systems 6, 391–415 (1992).
54. S. P. Hoogendoorn and P. H. L. Bovy, Transportation Research Records 1710, 28–36 (2000).
55. P. G. Gipps and B. Marksjö, Math. Comp. Simul. 27, 95–105 (1985).
56. K. Bolay, Nichtlineare Phänomene in einem fluid-dynamischen Verkehrsmodell (Master’s thesis, University of Stuttgart, 1998).
57. V. J. Blue and J. L. Adler, Transportation Research Records 1644, 29–36 (1998).
58. M. Fukui and Y. Ishibashi, Journal of the Physical Society of Japan 68, 2861–2863 (1999).
59. M. Muramatsu, T. Irie, and T. Nagatani, Physica A 267, 487–498 (1999).
60. H. Klüpfel, M. Meyer-König, J. Wahle, and M. Schreckenberg, in S. Bandini and T. Worsch (eds.) Theory and Practical Issues on Cellular Automata (Springer, London, 2000).
61. C. Burstedde, K. Klauck, A. Schadschneider, and J. Zittartz, Physica A 295, 507–525 (2001).
62. S. Gopal and T. R. Smith, in M. M. Fischer, P. Nijkamp, and Y. Y. Papageorgiou (eds.) Spatial Choices and Processes (North-Holland, Amsterdam, 1990), pp. 169–200.
63. C. W. Reynolds, in D. Cliff, P. Husbands, J.-A. Meyer, and S. Wilson (eds.) From Animals to Animats 3: Proceedings of the Third International Conference on Simulation of Adaptive Behavior (MIT Press, Cambridge, Massachusetts, 1994), pp. 402–410.
64. D. Helbing, Behavioral Science 37, 190–214 (1992).
65. D. Helbing, P. Molnár, I. Farkas, and K. Bolay, Environment and Planning B 28, 361-383 (2001).
66. J. Klockgether and H.-P. Schwefel, in D. G. Elliott (ed.) Proceedings of the Eleventh Symposium on Engineering Aspects of Magnetohydrodynamics (California Institute of Technology, Pasadena, CA, 1970), pp. 141–148.
67. D. Helbing, in G. Haag, U. Mueller, and K. G. Troitzsch (eds.) Economic Evolution and Demographic Change. Formal Models in Social Sciences (Springer, Berlin, 1992), pp. 330–348.
68. N. E. Miller, in J. McV. Hunt (ed.) Personality and the behavior disorders, Vol. 1, (Ronald, New York, 1944).
69. N. E. Miller, in S. Koch (ed.) Psychology: A Study of Science, Vol. 2 (McGraw Hill, New York, 1959).
70. K. Lewin, Field Theory in Social Science (Harper & Brothers, New York, 1951).
71. D. Helbing, Journal of Mathematical Sociology 19(3), 189–219 (1994).
72. S. Hoogendoorn and P. H. L. Bovy, Optimal Control Applications and Methods 24(3), 153–172 (2003).
73. D. Helbing, I. Farkas, and T. Vicsek, Nature 407, 487–490 (2000).
74. J. Kerridge and T. Chamberlain, in N. Waldau, P. Gattermann, H. Knoflacher, and M. Schreckenberg (eds.) Pedestrian and Evacuation Dynamics’05 (Springer, Berlin, 2005).
75. S. P. Hoogendoorn, W. Daamen, and P. H. L. Bovy, in Proceedings of the 82nd Annual Meeting at the Transportation Research Board (CDROM, Mira Digital Publishing, Washington D.C., 2003).
76. K. Teknomo, Microscopic pedestrian flow characteristics: Development of an image processing data collection and simulation model (PhD thesis, Tohoku University Japan, Sendai, 2002).
77. T. Schelling, Journal of Mathematical Sociology 1, 143–186 (1971).
78. D. Helbing and T. Platkowski, International Journal of Chaos Theory and Applications 5(4), 47–62 (2000).
79. K. Ando, H. Oto and T. Aoki, Railway Research Review 45 (8), 8-13 (1988).
80. D. Helbing, A. Johansson, J. Mathiesen, M.H. Jensen and A. Hansen, Physical Review Letters 97, 168001 (2006).
81. D. Helbing, A. Johansson and H. Z. Al-Abideen, Physical Review E, in print (2007).
82. P. Windrum, G. Fagiolo, and A. Moneta, JASSS 10(2), 8 (2007).
83. R. Boero and F. Squazzoni, Does empirical embeddedness matter? Methodological issues on agent-based models for analytical social science, JASSS 8(4), 6 (2005).
84. R. Leombruni, M. Richiardi, N. J. Saam, and M. Sonnessa, TTA common protocol for agent-based social simulation. in K. G. Troitzsch (ed.) Representing Social Reality: Approaches and Results (Proceedings of the 3rd Annual Conference of the European Social Simulation Association, Koblenz, September 5–9, 2005).
85. M. Moussaid, S. Garnier, D. Helbing, and G. Theraulaz, Internal Working Paper (2007).