1 resultado para Spatial pattern and association
em Greenwich Academic Literature Archive - UK
Filtro por publicador
- Aberdeen University (5)
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- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (9)
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- Aquatic Commons (28)
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- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (4)
- Archive of European Integration (4)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (2)
- Aston University Research Archive (59)
- Avian Conservation and Ecology - Eletronic Cientific Hournal - Écologie et conservation des oiseaux: (2)
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- Chinese Academy of Sciences Institutional Repositories Grid Portal (53)
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- Collection Of Biostatistics Research Archive (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (2)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (2)
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- Queensland University of Technology - ePrints Archive (111)
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- Université de Lausanne, Switzerland (2)
- Université de Montréal, Canada (4)
- University of Canberra Research Repository - Australia (3)
- University of Connecticut - USA (1)
- University of Michigan (5)
- University of Queensland eSpace - Australia (37)
- University of Southampton, United Kingdom (1)
- University of Washington (2)
- WestminsterResearch - UK (2)
Resumo:
Within the building evacuation context, wayfinding describes the process in which an individual located within an arbitrarily complex enclosure attempts to find a path which leads them to relative safety, usually the exterior of the enclosure. Within most evacuation modelling tools, wayfinding is completely ignored; agents are either assigned the shortest distance path or use a potential field to find the shortest path to the exits. In this paper a novel wayfinding technique that attempts to represent the manner in which people wayfind within structures is introduced and demonstrated through two examples. The first step is to encode the spatial information of the enclosure in terms of a graph. The second step is to apply search algorithms to the graph to find possible routes to the destination and assign a cost to the routes based on their personal route preferences such as "least time" or "least distance" or a combination of criteria. The third step is the route execution and refinement. In this step, the agent moves along the chosen route and reassesses the route at regular intervals and may decide to take an alternative path if the agent determines that an alternate route is more favourable e.g. initial path is highly congested or is blocked due to fire.