Evacuation of multi-level building: Design, control and strategic flow

Alain Tcheukam, Boualem Djehiche, Hamidou Tembine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work introduces a simple mean-field network game that captures some of the key dynamic features of crowd and pedestrian flows in multi-level building evacuations. It considers a route choice by finite number of strategic agents. Each agent state is represented by a simple first order dynamical system. Each agent measures its local congestion measure based on its location in the building. Including the local congestion term and its evolution along the path causes a sort of dispersion of the flow: the agents will try to avoid high density areas in order to reduce their overall walking costs and queuing cost at the exits. Each agent will move to one the closest exits that is safer and that has less congestion through the path. The dynamics of lower layer floors are influenced not only by the agents in that floor but also by the incoming flow from the upper layers through the stairs leading to interacting flows between the floors. Numerics and simulations are carried out to illustrate mean-field equilibria of the evacuation process.

Original languageEnglish (US)
Title of host publicationProceedings of the 35th Chinese Control Conference, CCC 2016
EditorsJie Chen, Qianchuan Zhao, Jie Chen
PublisherIEEE Computer Society
Pages9218-9223
Number of pages6
ISBN (Electronic)9789881563910
DOIs
StatePublished - Aug 26 2016
Event35th Chinese Control Conference, CCC 2016 - Chengdu, China
Duration: Jul 27 2016Jul 29 2016

Publication series

NameChinese Control Conference, CCC
Volume2016-August
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Other

Other35th Chinese Control Conference, CCC 2016
CountryChina
CityChengdu
Period7/27/167/29/16

Keywords

  • Evacuation
  • Mean-Field Game
  • Multi-Level Building

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Applied Mathematics
  • Modeling and Simulation

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