Automatic layout design solution

  • Authors:
  • Fadratul Hafinaz Hassan;Allan Tucker

  • Affiliations:
  • School of Information Systems, Computing and Mathematics, Brunel University, UK and School of Computer Science, University Science of Malaysia, Penang, Malaysia;School of Information Systems, Computing and Mathematics, Brunel University, UK

  • Venue:
  • IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X
  • Year:
  • 2011

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Abstract

A well designed space must consider not only ease of movement, but also ensure safety in a panic situation, such as emergency evacuation in a stadium or hospital. The movement statistics connected with pedestrian flow can be very helpful in feasible layout design. In this study, we examined fourway pedestrian movement statistics generated from heuristic search techniques to find feasible classroom layout solutions. The aim of the experiment is to compare how fast and effective the algorithms can generate automatic solutions to the layout. Experiments from our preliminary study have shown that promising results for simulated annealing and genetic algorithm operator algorithms in pedestrian simulation modelling. Our experimental results are compared with current classroom layouts. We find a feasible layout with a staggering shaped and wider lane, objects shift aside to the walls creating bigger lanes in the middle of layout, or escape routes are created surrounding the clustered objects.