Modeling and optimization of crowd guidance for building emergency evacuation

Peng Wang, Peter B. Luh, Shi Chuang Chang, Jin Sun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


Effective building evacuation in case of emergencies such as fires, chemical spills, or spreads of biological agents has long been recognized as an important issue, and effective crowd guidance can improve egress efficiency, occupant survivability, and mitigate or prevent undesirable consequences such as blocking or stampeding. To effectively guide crowds, however, is a challenging issue because emergency events may propagate in uncertain ways and affect the availability of egress paths; egress path capacities may constrain the speed of crowd movement; and crowd could be stressed making their behaviors different from their normal modes. Although good results have recently been obtained on microscopic behaviors of individuals such as the social force model of Helbing [1-3], there is a major gap between these microscopic models of individuals evacuating from rooms and the macroscopic models of crowd flows needed to evacuate them from a building. Most existing egress guidance methods assume that crowd behaviors are independent of emergency situations and are fully controllable under guidance. These assumptions make it difficult to capture important features such as stampeding or blocking.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - First International Conference, ICIRA 2008, Proceedings
Number of pages6
EditionPART 2
StatePublished - 2008
Event1st International Conference on Intelligent Robotics and Applications, ICIRA 2008 - Wuhan, China
Duration: Oct 15 2008Oct 17 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5315 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference1st International Conference on Intelligent Robotics and Applications, ICIRA 2008

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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