4.4 Article

MEAN FIELD GAMES WITH NONLINEAR MOBILITIES IN PEDESTRIAN DYNAMICS

期刊

出版社

AMER INST MATHEMATICAL SCIENCES
DOI: 10.3934/dcdsb.2014.19.1311

关键词

Pedestrian dynamics; mean field limit; optimal control; calculus of variations; numerical simulations

资金

  1. Austrian Science Foundation FWF [T456-N23]
  2. FP7-People Marie Curie CIG (Career Integration Grant) Diffusive Partial Differential Equations with Nonlocal Interaction in Biology and Social Sciences (DifNonLoc)
  3. 'Ramon y Cajal' sub-programme (MICINN-RYC) of the Spanish Ministry of Science and Innovation [RYC-2010-06412]
  4. Ministerio de Ciencia e Innovacion [MTM2011-27739-C04-02]

向作者/读者索取更多资源

In this paper we present an optimal control approach modeling fast exit scenarios in pedestrian crowds. In particular we consider the case of a large human crowd trying to exit a room as fast as possible. The motion of every pedestrian is determined by minimizing a cost functional, which depends on his/her position, velocity, exit time and the overall density of people. This microscopic setup leads in the mean-field limit to a parabolic optimal control problem. We discuss the modeling of the macroscopic optimal control approach and show how the optimal conditions relate to the Hughes model for pedestrian flow. Furthermore we provide results on the existence and uniqueness of minimizers and illustrate the behavior of the model with various numerical results.

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