dc.contributor.author | Berceanu, Cristian | |
dc.contributor.author | Banu, Ionut | |
dc.contributor.author | Husebø, Bettina | |
dc.contributor.author | Patrascu, Monica | |
dc.date.accessioned | 2022-08-18T13:44:44Z | |
dc.date.available | 2022-08-18T13:44:44Z | |
dc.date.created | 2022-08-15T16:09:53Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 1932-8184 | |
dc.identifier.uri | https://hdl.handle.net/11250/3012578 | |
dc.description.abstract | As a complex system, crowd dynamics emerge bottom-up from the local interactions between pedestrians as component subsystems. This article proposes a predictive agent-based crowd simulation model to analyze the outcomes of emergency evacuation scenarios taking into account collisions between pedestrians, smoke, fire sprinklers, and exit indicators. The crowd model is based on a decentralized control system structure, where each pedestrian agent is governed through a deliberative-reactive control architecture. The simulation model for evacuation includes a routing-based control system for dynamic-guided evacuation. A design case illustrates the modeling process. Results show that the crowd simulation model based on agent autonomy and local interactions is able to generate higher level crowd dynamics through emergence. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Predictive Agent-Based Crowd Model Design Using Decentralized Control Systems | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | Copyright 2022 the authors | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |
dc.identifier.doi | 10.1109/JSYST.2022.3188339 | |
dc.identifier.cristin | 2043171 | |
dc.source.journal | IEEE Systems Journal | en_US |
dc.identifier.citation | IEEE Systems Journal. 2022. | en_US |