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Potential for the dynamics of pedestrians in a socially interacting group
Phys. Rev. E 89, 012811 – Published 22 January, 2014
DOI: https://doi.org/10.1103/PhysRevE.89.012811
Abstract
We introduce a simple potential to describe the dynamics of the relative motion of two pedestrians socially interacting in a walking group. We show that the proposed potential, based on basic empirical observations and theoretical considerations, can qualitatively describe the statistical properties of pedestrian behavior. In detail, we show that the two-dimensional probability distribution of the relative distance is determined by the proposed potential through a Boltzmann distribution. After calibrating the parameters of the model on the two-pedestrian group data, we apply the model to three-pedestrian groups, showing that it describes qualitatively and quantitatively well their behavior. In particular, the model predicts that three-pedestrian groups walk in a -shaped formation and provides accurate values for the position of the three pedestrians. Furthermore, the model correctly predicts the average walking velocity of three-person groups based on the velocity of two-person ones. Possible extensions to larger groups, along with alternative explanations of the social dynamics that may be implied by our model, are discussed at the end of the paper.
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References (49)
- J. Coleman and J. James, Sociometry 24, 36 (1961).
- J. James, American Sociological Review 18, 569 (1953).
- A. F. Aveni, Sociometry 40, 96 (1977).
- M. Schultz, L. Rößger, H. Fricke, and B. Schlag, in Pedestrian and Evacuation Dynamics 2012, edited by U. Weidmann, U. Kirsch, and M. Schreckenberg (Springer, Berlin, 2014), Vol. II, pp. 1097–1111.
- M. Moussaïd, N. Perozo, S. Garnier, D. Helbing, and G. Theraulaz, PLoS ONE 5, e10047 (2010).
- L. Manenti, S. Manzoni, G. Vizzari, K. Ohtsuka, and K. Shimura, in Multi-Agent-Based Simulation XII (Springer, Berlin, 2012), pp. 74–89.
- S. Xu and H.-L. Duh, IEEE Trans. Intell. Transp. Syst. 11, 153 (2010).
- G. Köster, M. Seitz, F. Treml, D. Hartmann, and W. Klein, Contemp. Soc. Sci. 6, 397 (2011).
- I. Karamouzas and M. Overmars, in Proceedings of the 17th ACM Symposium on Virtual Reality Software and Technology (ACM, New York, 2010), pp. 183–190.
- Y. Zhang, J. Pettré, X. Qin, S. Donikian, and Q. Peng, in 12th International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics), 2011 (IEEE, Jinan, China, 2011), pp. 275–281.
- E. Hall, The Hidden Dimension (Anchor Books, New York, 1969).
- A. Kendon, Conducting Interaction: Patterns of Behavior in Focused Encounters (Cambridge University Press, Cambridge, 1990), Vol. 7.
- M. Costa, J. Nonverb. Behav. 34, 15 (2010).
- F. Zanlungo and T. Kanda, in COGSCI13 (Cognitive Science Society, Austin, TX, 2013).
- C. Castellano, S. Fortunato, and V. Loreto, Rev. Mod. Phys. 81, 591 (2009).
- L. Henderson, Nature 229, 381 (1971).
- P. P. Kachroo, S. J. Al-Nasur, and S. A. Wadoo, Pedestrian Dynamics: Feedback Control of Crowd Evacuation (Springer, Berlin, 2008).
- M. Muramatsu and T. Nagatani, Physica A 286, 377 (2000).
- C. Burstedde, K. Klauck, A. Schadschneider, and J. Zittartz, Physica A 295, 507 (2001).
- M. Schultz and H. Fricke, in Cellular Automata (Springer, Berlin, 2010), pp. 506–512.
- D. Helbing and P. Molnar, Phys. Rev. E 51, 4282 (1995).
- D. Helbing, P. Molnar, I. Farkas, and K. Bolay, Environ. Plann. B 28, 361 (2001).
- S. Hoogendoorn and W. Daamen, Traffic Granul. Flow 03, 373 (2005).
- T. Kretz, A. Grünebohm, M. Kaufman, F. Mazur, and M. Schreckenberg, J. Stat. Mech.: Theor. Exp. (2006) P10001.
- D. Helbing and A. Johansson, Encycl. Complex. Syst. Sci. 16, 6476 (2009).
- F. Zanlungo, T. Ikeda, and T. Kanda, Europhys. Lett. 93, 68005 (2011).
- G. Turchetti, F. Zanlungo, and B. Giorgini, Europhys. Lett. 78, 58003 (2007).
- A. Sud, E. Andersen, S. Curtis, M. C. Lin, and D. Manocha, IEEE Trans. Vis. Comput. Graphics 14, 526 (2008).
- J. Ondřej, J. Pettré, A. Olivier, and S. Donikian, ACM Transact. Graphic. 29, 123 (2010).
- M. Moussaïd, D. Helbing, S. Garnier, A. Johansson, M. Combe, and G. Theraulaz, Proc. R. Soc. B: Biol. Sci. 276, 2755 (2009).
- S. J. Guy, S. Curtis, M. C. Lin, and D. Manocha, Phys. Rev. E 85, 016110 (2012).
- A. Johansson, D. Helbing, and P. K. Shukla, Adv. Complex Syst. 10, 271 (2007).
- C. McPhail and R. T. Wohlstein, Sociol. Methods Res. 10, 347 (1982).
- M. L. Knapp, Nonverbal Communication in Human Interaction (Cengage Learning, Stamford, CT, 2012).
- C. L. Kleinke, Psychol. Bull. 100, 78 (1986).
- M. Argyle and J. Dean, Sociometry 28, 289 (1965).
- Z. Yücel, F. Zanlungo, T. Ikeda, T. Miyashita, and N. Hagita, Sensors 13, 875 (2013).
- J. Zacharias, J. Environ. Psychol. 21, 341 (2001).
- S. P. Hoogendoorn and P. H. Bovy, Transport. Res. B Methodol. 38, 169 (2004).
- T. Kretz, J. Stat. Mech.: Theor. Exp. (2009) P03012.
- S. Thompson, T. Horiuchi, and S. Kagami, in Proceedings of the 13th IASTED International Conference on Robotics and Applications of RA '07 (ACTA Press Anaheim, CA, USA, 2007), pp. 119–125.
- S. Hoogendoorn and P. HL Bovy, Optim. Contr. Appl. Methods 24, 153 (2003).
- F. Zanlungo, T. Ikeda, and T. Kanda, PloS ONE 7, e50720 (2012).
- F. Zanlungo, Y. Chigodo, T. Ikeda, and T. Kanda, in Pedestrian and Evacuation Dynamics 2012, edited by U. Weidmann, U. Kirsch, and M. Schreckenberg (Springer, Berlin, 2014), Vol. I, pp. 289–304.
- sites.google.com/site/francescozanlungo/pedestriandata
- D. Glas, T. Miyashita, H. Ishiguro, and N. Hagita, Adv. Robot. 23, 405 (2009).
- N. Saunier, A. El Husseini, K. Ismail, C. Morency, J.-M. Auberlet, and T. Sayed, Transp. Res. B 2264, 138 (2011).
- S. Pellegrini, A. Ess, and L. Van Gool, in Computer Vision–ECCV 2010 (Springer, Berlin, 2010), pp. 452–465.
- J. R. Landis and G. G. Koch, Biometrics 33, 159 (1977).