Incorporating intelligence into exit choice model for typical evacuation
Integrating an exit choice model into a microscopic crowd dynamics model is an essential approach for obtaining more efficient evacuation model. We describe various aspects of decision-making capability of an existing rule-based exit choice model for evacuation processes. In simulations, however, th...
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Penerbit Universiti Kebangsaan Malaysia
2017
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Online Access: | http://journalarticle.ukm.my/11560/ http://journalarticle.ukm.my/11560/ http://journalarticle.ukm.my/11560/1/39%20Mohammed%20Shuaib.pdf |
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ukm-115602018-04-10T10:15:21Z http://journalarticle.ukm.my/11560/ Incorporating intelligence into exit choice model for typical evacuation Mohammed Shuaib, Zarita Zainuddin, Integrating an exit choice model into a microscopic crowd dynamics model is an essential approach for obtaining more efficient evacuation model. We describe various aspects of decision-making capability of an existing rule-based exit choice model for evacuation processes. In simulations, however, the simulated evacuees clogging at exits have behaved non-intelligently, namely they do not give up their exits for better ones for safer egress. We refine the model to endow the individuals with the ability to leave their exits due to dynamic changes by modifying the model of their excitement resulted from the source of panic. This facilitates the approximately equal crowd size at exits for being until the end of the evacuation process, and thereby the model accomplishes more optimal evacuation. For further intelligence, we introduce the prediction factor that enables higher probability of equally distributing evacuees at exits. A simulation to validate the contribution is performed, and the results are analyzed and compared with the original model. Penerbit Universiti Kebangsaan Malaysia 2017-10 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/11560/1/39%20Mohammed%20Shuaib.pdf Mohammed Shuaib, and Zarita Zainuddin, (2017) Incorporating intelligence into exit choice model for typical evacuation. Sains Malaysiana, 46 (10). pp. 1997-2005. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol46num10_2017/contentsVol46num10_2017.html |
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Universiti Kebangasaan Malaysia |
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UKM Institutional Repository |
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English |
description |
Integrating an exit choice model into a microscopic crowd dynamics model is an essential approach for obtaining more efficient evacuation model. We describe various aspects of decision-making capability of an existing rule-based exit choice model for evacuation processes. In simulations, however, the simulated evacuees clogging at exits have behaved non-intelligently, namely they do not give up their exits for better ones for safer egress. We refine the model to endow the individuals with the ability to leave their exits due to dynamic changes by modifying the model of their excitement resulted from the source of panic. This facilitates the approximately equal crowd size at exits for being until the end of the evacuation process, and thereby the model accomplishes more optimal evacuation. For further intelligence, we introduce the prediction factor that enables higher probability of equally distributing evacuees at exits. A simulation to validate the contribution is performed, and the results are analyzed and compared with the original model. |
format |
Article |
author |
Mohammed Shuaib, Zarita Zainuddin, |
spellingShingle |
Mohammed Shuaib, Zarita Zainuddin, Incorporating intelligence into exit choice model for typical evacuation |
author_facet |
Mohammed Shuaib, Zarita Zainuddin, |
author_sort |
Mohammed Shuaib, |
title |
Incorporating intelligence into exit choice model for typical evacuation |
title_short |
Incorporating intelligence into exit choice model for typical evacuation |
title_full |
Incorporating intelligence into exit choice model for typical evacuation |
title_fullStr |
Incorporating intelligence into exit choice model for typical evacuation |
title_full_unstemmed |
Incorporating intelligence into exit choice model for typical evacuation |
title_sort |
incorporating intelligence into exit choice model for typical evacuation |
publisher |
Penerbit Universiti Kebangsaan Malaysia |
publishDate |
2017 |
url |
http://journalarticle.ukm.my/11560/ http://journalarticle.ukm.my/11560/ http://journalarticle.ukm.my/11560/1/39%20Mohammed%20Shuaib.pdf |
first_indexed |
2023-09-18T20:00:37Z |
last_indexed |
2023-09-18T20:00:37Z |
_version_ |
1777406824101707776 |