Hybrid social force-fuzzy logic evacuation simulation model for multiple exits
One of the most important aspect of evacuation management system, when it comes to organizing a safer large- scale gathering is crowd dynamics. Utilizing evacuation simulation of crowd dynamics during egress, for planning efficient crowd control can minimize crowd disaster to a great extent. Most of...
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Institute of Electrical and Electronics Engineers Inc.
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my.iium.irep.780722020-06-12T02:05:27Z http://irep.iium.edu.my/78072/ Hybrid social force-fuzzy logic evacuation simulation model for multiple exits Mohd Ibrahim, Azhar Saifullah, Mahsin Mohd Romlay, Mohamad Rabani Venkat, Ibrahim Izihan, Ibrahim T Technology (General) TA1001 Transportation engineering (General) One of the most important aspect of evacuation management system, when it comes to organizing a safer large- scale gathering is crowd dynamics. Utilizing evacuation simulation of crowd dynamics during egress, for planning efficient crowd control can minimize crowd disaster to a great extent. Most of the previous studies on evacuation models have been done over a discrete space which have neglected the uncertainty aspect of an agent’s decision making, especially when it comes to panic situations. This study proposes a model for evacuation simulation under uncertainty conditions in a continuous space via computer simulations. It will focus on developing an intelligent simulation model utilizing one of the artificial intelligence techniques which is fuzzy logic. Social Force Model will be taken as the base for basic agent motion. Membership functions such as distance from the exit, familiarity and visibility of the exit, density of crowd around the exit are incorporated in the fuzzy logic system to model the system. From our findings, it can be deduced that factors such as density, distance, and familiarity all considerably affect the time of evacuation of agents from the threat place. Indeed, uncertainty aspect influences agents’ decision making, thus affecting the result of evacuation time. Institute of Electrical and Electronics Engineers Inc. 2019-10 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/78072/1/78072_Hybrid%20Social%20Force-Fuzzy%20Logic%20Evacuation%20Simulation%20Model%20_baru.pdf application/pdf en http://irep.iium.edu.my/78072/2/78072_Hybrid%20Social%20Force-Fuzzy%20Logic%20Evacuation%20Simulation%20Model%20_scopus.pdf application/pdf en http://irep.iium.edu.my/78072/13/78072_Hybrid%20Social%20Force-Fuzzy%20Logic%20Evacuation%20Simulation_wos.pdf Mohd Ibrahim, Azhar and Saifullah, Mahsin and Mohd Romlay, Mohamad Rabani and Venkat, Ibrahim and Izihan, Ibrahim (2019) Hybrid social force-fuzzy logic evacuation simulation model for multiple exits. In: 7th International Conference on Mechatronics Engineering, ICOM 2019, 30th–31st October 2019, Putrajaya. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8952063&tag=1 10.1109/ICOM47790.2019.8952063 |
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T Technology (General) TA1001 Transportation engineering (General) Mohd Ibrahim, Azhar Saifullah, Mahsin Mohd Romlay, Mohamad Rabani Venkat, Ibrahim Izihan, Ibrahim Hybrid social force-fuzzy logic evacuation simulation model for multiple exits |
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One of the most important aspect of evacuation management system, when it comes to organizing a safer large- scale gathering is crowd dynamics. Utilizing evacuation simulation of crowd dynamics during egress, for planning efficient crowd control can minimize crowd disaster to a great extent. Most of the previous studies on evacuation models have been done over a discrete space which have neglected the uncertainty aspect of an agent’s decision making, especially when it comes to panic situations. This study proposes a model for evacuation simulation under uncertainty conditions in a continuous space via computer simulations. It will focus on developing an intelligent simulation model utilizing one of the artificial intelligence techniques which is fuzzy logic. Social Force Model will be taken as the base for basic agent motion. Membership functions such as distance from the exit, familiarity and visibility of the exit, density of crowd around the exit are incorporated in the fuzzy logic system to model the system. From our findings, it can be deduced that factors such as density, distance, and familiarity all considerably affect the time of evacuation of agents from the threat place. Indeed, uncertainty aspect influences agents’ decision making, thus affecting the result of evacuation time. |
format |
Conference or Workshop Item |
author |
Mohd Ibrahim, Azhar Saifullah, Mahsin Mohd Romlay, Mohamad Rabani Venkat, Ibrahim Izihan, Ibrahim |
author_facet |
Mohd Ibrahim, Azhar Saifullah, Mahsin Mohd Romlay, Mohamad Rabani Venkat, Ibrahim Izihan, Ibrahim |
author_sort |
Mohd Ibrahim, Azhar |
title |
Hybrid social force-fuzzy logic evacuation simulation model for multiple exits |
title_short |
Hybrid social force-fuzzy logic evacuation simulation model for multiple exits |
title_full |
Hybrid social force-fuzzy logic evacuation simulation model for multiple exits |
title_fullStr |
Hybrid social force-fuzzy logic evacuation simulation model for multiple exits |
title_full_unstemmed |
Hybrid social force-fuzzy logic evacuation simulation model for multiple exits |
title_sort |
hybrid social force-fuzzy logic evacuation simulation model for multiple exits |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2019 |
url |
http://irep.iium.edu.my/78072/1/78072_Hybrid%20Social%20Force-Fuzzy%20Logic%20Evacuation%20Simulation%20Model%20_baru.pdf http://irep.iium.edu.my/78072/2/78072_Hybrid%20Social%20Force-Fuzzy%20Logic%20Evacuation%20Simulation%20Model%20_scopus.pdf http://irep.iium.edu.my/78072/13/78072_Hybrid%20Social%20Force-Fuzzy%20Logic%20Evacuation%20Simulation_wos.pdf http://irep.iium.edu.my/78072/ https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8952063&tag=1 |
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