Simulating Crowd Evacuation in a Social Force Model with Iterative Extended State Observer
Due to the interaction and external interference, the crowds will constantly and dynamically adjust their evacuation path in the evacuation process to achieve the purpose of rapid evacuation. The information from previous process can be used to modify the current evacuation control information to ac...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/4604187 |
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| author | Juan Wei Wenjie Fan Zhongyu Li Yangyong Guo Yuanyuan Fang Jierui Wang |
| author_facet | Juan Wei Wenjie Fan Zhongyu Li Yangyong Guo Yuanyuan Fang Jierui Wang |
| author_sort | Juan Wei |
| collection | DOAJ |
| description | Due to the interaction and external interference, the crowds will constantly and dynamically adjust their evacuation path in the evacuation process to achieve the purpose of rapid evacuation. The information from previous process can be used to modify the current evacuation control information to achieve a better evacuation effect, and iterative learning control can achieve an effective prediction of the expected path within a limited running time. In order to depict this process, the social force model is improved based on an iterative extended state observer so that the crowds can move along the optimal evacuation path. First, the objective function of the optimal evacuation path is established in the improved model, and an iterative extended state observer is designed to get the estimated value. Second, the above model is verified through simulation experiments. The results show that, as the number of iterations increases, the evacuation time shows a trend of first decreasing and then increasing. |
| format | Article |
| id | doaj-art-70e455d8f53b4f4db8947986a0c9fbc5 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-70e455d8f53b4f4db8947986a0c9fbc52025-02-03T01:05:12ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/46041874604187Simulating Crowd Evacuation in a Social Force Model with Iterative Extended State ObserverJuan Wei0Wenjie Fan1Zhongyu Li2Yangyong Guo3Yuanyuan Fang4Jierui Wang5College of Computer Science, Chengdu Normal University, Chengdu 611130, ChinaKey Laboratory of Pattern Recognition and Intelligent Information Processing, Institutions of Higher Education of Sichuan Province, Chengdu University, Chengdu 610106, ChinaCollege of Computer Science, Chengdu Normal University, Chengdu 611130, ChinaCollege of Computer Science, Chengdu Normal University, Chengdu 611130, ChinaCollege of Computer Science, Chengdu Normal University, Chengdu 611130, ChinaCollege of Computer Science, Chengdu Normal University, Chengdu 611130, ChinaDue to the interaction and external interference, the crowds will constantly and dynamically adjust their evacuation path in the evacuation process to achieve the purpose of rapid evacuation. The information from previous process can be used to modify the current evacuation control information to achieve a better evacuation effect, and iterative learning control can achieve an effective prediction of the expected path within a limited running time. In order to depict this process, the social force model is improved based on an iterative extended state observer so that the crowds can move along the optimal evacuation path. First, the objective function of the optimal evacuation path is established in the improved model, and an iterative extended state observer is designed to get the estimated value. Second, the above model is verified through simulation experiments. The results show that, as the number of iterations increases, the evacuation time shows a trend of first decreasing and then increasing.http://dx.doi.org/10.1155/2020/4604187 |
| spellingShingle | Juan Wei Wenjie Fan Zhongyu Li Yangyong Guo Yuanyuan Fang Jierui Wang Simulating Crowd Evacuation in a Social Force Model with Iterative Extended State Observer Journal of Advanced Transportation |
| title | Simulating Crowd Evacuation in a Social Force Model with Iterative Extended State Observer |
| title_full | Simulating Crowd Evacuation in a Social Force Model with Iterative Extended State Observer |
| title_fullStr | Simulating Crowd Evacuation in a Social Force Model with Iterative Extended State Observer |
| title_full_unstemmed | Simulating Crowd Evacuation in a Social Force Model with Iterative Extended State Observer |
| title_short | Simulating Crowd Evacuation in a Social Force Model with Iterative Extended State Observer |
| title_sort | simulating crowd evacuation in a social force model with iterative extended state observer |
| url | http://dx.doi.org/10.1155/2020/4604187 |
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