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Article
Article
| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhong, Jinghui Luo, Linbo Cai, Wentong Lees, Michael |
| Copyright Year | 2014 |
| Description | Author affiliation: School of Computer Science and Technology, Xidian University, Xi'an, 710071, CHINA (Luo, Linbo) || Section Computational Science, University of Amsterdam, 1098 XH, NETHERLANDS (Lees, Michael) || School of Computer Engineering, Nanyang Technological University, 639789, SINGAPORE (Zhong, Jinghui; Cai, Wentong) |
| Abstract | Safety planning for crowd evacuation is an important and active research topic nowadays. One important issue is to devise the evacuation plans of individuals in emergency situations so as to reduce the total evacuation time. This paper proposes a novel evolutionary algorithm (EA)-based methodology, together with agent-based crowd simulation, to solve the evacuation planning problem. The proposed method features a novel segmentation strategy which divides the entire evacuation region into sub-regions based on a discriminant function. Each sub-region is assigned with an exit gate, and individuals in a sub-region will run toward the corresponding exit gate for evacuation. In this way, the evacuation planning problem is converted to a symbolic regression problem. Then an evolutionary algorithm, using agent-based crowd simulation as fitness function, is developed to search for the global optimal solution. The simulation results on different scenarios demonstrate that the proposed method is effective to reduce the evacuation time. |
| Starting Page | 395 |
| Ending Page | 406 |
| File Size | 907488 |
| Page Count | 12 |
| File Format | |
| e-ISBN | 9781479974863 |
| DOI | 10.1109/WSC.2014.7019906 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Planning Biological cells Safety Educational institutions Logic gates Evolutionary computation Simulation |
| Content Type | Text |
| Resource Type | Article |
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