@article{ref1,
title="Modeling tagged pedestrian motion: a mean-field type game approach",
journal="Transportation research part B: methodological",
year="2019",
author="Aurell, Alexander and Djehiche, Boualem",
volume="121",
number="",
pages="168-183",
abstract="This paper suggests a model for the motion of tagged pedestrians: Pedestrians moving towards a specified targeted destination, which they are forced to reach. It aims to be a decision-making tool for the positioning of fire fighters, security personnel and other services in a pedestrian environment. Taking interaction with the surrounding crowd into account leads to a differential nonzero-sum game model where the tagged pedestrians compete with the surrounding crowd of ordinary pedestrians. When deciding how to act, pedestrians consider crowd distribution-dependent effects, like congestion and crowd aversion. Including such effects in the parameters of the game, makes it a mean-field type game. The equilibrium control is characterized, and special cases are discussed. Behavior in the model is studied by numerical simulations.<p /> <p>Language: en</p>",
language="en",
issn="0191-2615",
doi="10.1016/j.trb.2019.01.011",
url="http://dx.doi.org/10.1016/j.trb.2019.01.011"
}