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The Characteristics of the Factors that Govern the Preferred Force in the Social Force Model of Pedestrian Movement
Abstract:The social force model which belongs to the microscopic pedestrian studies has been considered as the supremacy by many researchers and due to the main feature of reproducing the self-organized phenomena resulted from pedestrian dynamic. The Preferred Force which is a measurement of pedestrian-s motivation to adapt his actual velocity to his desired velocity is an essential term on which the model was set up. This Force has gone through stages of development: first of all, Helbing and Molnar (1995) have modeled the original force for the normal situation. Second, Helbing and his co-workers (2000) have incorporated the panic situation into this force by incorporating the panic parameter to account for the panic situations. Third, Lakoba and Kaup (2005) have provided the pedestrians some kind of intelligence by incorporating aspects of the decision-making capability. In this paper, the authors analyze the most important incorporations into the model regarding the preferred force. They make comparisons between the different factors of these incorporations. Furthermore, to enhance the decision-making ability of the pedestrians, they introduce additional features such as the familiarity factor to the preferred force to let it appear more representative of what actually happens in reality.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1058359Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 864
 K. Teknomo, (Ph.D. thesis style) Tohoku University Japan, Sendai, 2002, unpublished.
 S. P. Hoogendoorn, P. H. L. Bovy and W. Daamen Microscopic Pedestrian Wayfinding and Dynamics Modelling, 123-154 in: M. Schreckenberg and S. D. Sharma (eds.) Pedestrian and Evacuation Dynamics, Springer, Berlin. 2001.
 D. Helbing, I. Farkas and T. Vicsek, Simulating dynamical features of escape panic. Nature, 407, (2000), 487-90.
 D. Helbing, I. Farkas, P. Molnar and T. Vicsek, Simulation of pedestrian crowds in normal and evacuation situations. In Pedestrian and evacuation dynamics, edited by M. Schreckenberg and S. Deo Sarma. Berlin: Springer-Verlag. 2002, 21-58
 T.I. Lakoba, D.J Kaup, and N.M. Finkelstein, Modifications of the Helbing-Molnar-Farkas-Vicsek Social Force Model for Pedestrian Evolution. SIMULATION, 81(3), 2005, 339-352.
 D. Helbing and P. Molnar, Social force model for pedestrian dynamics. Physical Review E, 51, 4282-7, York, 1995.
 K. Lewin, Field Theory in Social Science. Harper & Brothers, New York. 1951.
 D. Helbing, A Mathematical Model for the Behavior of Pedestrians. II. Institut fur Theoretische Physik Universitat Stuttgart. 1998.
 W. Yu and A. Johansson, Modelling Crowd Turbulence by Many- Particle Simulations, Physical Review E 76 046105, 2007.