On a mean field game approach modeling congestion and aversion in pedestrian crowds

In this paper we present a new class of pedestrian crowd models based on the mean field games theory introduced by Lasry and Lions in 2006. This macroscopic approach is based on a microscopic model, that considers smart pedestrians who rationally interact and anticipate the future. This leads to a forward-backward structure in time. We focus on two-population interactions and validate the modeling with simple examples. Two complementary classes of problems are addressed, namely the case of crowd aversion and the one of congestion. In both cases we describe the model and present numerical solvers (based on the optimization formulation and the partial differential equations respectively). Finally we present numerical tests involving anticipation phenomena and complex group behaviors such as lane formation.

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Availability:
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Supplemental Notes:
- Abstract reprinted with permission from Elsevier.
Authors:
- Lachapelle, Aime
- Wolfram, Marie-Therese
Publication Date: 2011-12

Language

English

Media Info

Media Type: Print
Features: Figures;
Pagination: pp 1572-1589
Serial:
- Transportation Research Part B: Methodological
- Volume: 45
- Issue Number: 10
- Publisher: Elsevier
- ISSN: 0191-2615
- Serial URL: http://www.sciencedirect.com/science/journal/01912615

Subject/Index Terms

TRT Terms: Behavior; Crowds; Differential equations; Future; Mathematical models; Optimization; Pedestrian flow; Traffic congestion
Uncontrolled Terms: Anticipation (Models); Aversion; Nash equilibrium; Personal interaction; Rational expectations
Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

Accession Number: 01359501
Record Type: Publication
Files: TRIS, ATRI
Created Date: Dec 22 2011 2:08PM