6
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Crowd Evacuation for Indoor Public Spaces Using Coulomb’s Law

      ,
      Advances in Artificial Intelligence
      Hindawi Limited

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This paper focuses on designing a tool for guiding a group of people out of a public building when they are faced with dangerous situations that require immediate evacuation. Despite architectural attempts to produce safe floor plans and exit door placements, people will still commit to fatal route decisions. Since they have access to global views, we believe supervisory people in the control room can use our simulation tools to determine the best courses of action for people. Accordingly, supervisors can guide people to safety. In this paper, we combine Coulomb’s electrical law, graph theory, and convex and centroid concepts to demonstrate a computer-generated evacuation scenario that divides the environment into different safe boundaries around the locations of each exit door in order to guide people through exit doors safely and in the most expedient time frame. Our mechanism continually updates the safe boundaries at each moment based on the latest location of individuals who are present inside the environment. Guiding people toward exit doors depends on the momentary situations in the environment, which in turn rely on the specifications of each exit door. Our mechanism rapidly adapts to changes in the environment in terms of moving agents and changes in the environmental layout that might be caused by explosions or falling walls.

          Related collections

          Most cited references30

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Social Force Model for Pedestrian Dynamics

          It is suggested that the motion of pedestrians can be described as if they would be subject to `social forces'. These `forces' are not directly exerted by the pedestrians' personal environment, but they are a measure for the internal motivations of the individuals to perform certain actions (movements). The corresponding force concept is discussed in more detail and can be also applied to the description of other behaviors. In the presented model of pedestrian behavior several force terms are essential: First, a term describing the acceleration towards the desired velocity of motion. Second, terms reflecting that a pedestrian keeps a certain distance to other pedestrians and borders. Third, a term modeling attractive effects. The resulting equations of motion are nonlinearly coupled Langevin equations. Computer simulations of crowds of interacting pedestrians show that the social force model is capable of describing the self-organization of several observed collective effects of pedestrian behavior very realistically.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            On the Modeling of Traffic and Crowds: A Survey of Models, Speculations, and Perspectives

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Modeling crowd evacuation of a building based on seven methodological approaches

                Bookmark

                Author and article information

                Journal
                Advances in Artificial Intelligence
                Advances in Artificial Intelligence
                Hindawi Limited
                1687-7470
                1687-7489
                2012
                2012
                : 2012
                :
                : 1-16
                Article
                10.1155/2012/340615
                857a4a8b-9abe-4fc2-ac8c-ff7907483bf7
                © 2012

                http://creativecommons.org/licenses/by/3.0/

                History

                Comments

                Comment on this article