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Indoor evacuation model based on visual-guidance artificial bee colony algorithm

Building Simulation 2022年第4期15卷 645-658页

作者： Xinlu Zong Aiping Liu Chunzhi Wang Zhiwei Ye Jiayuan Du College of Computer Science and Technology Hubei University of TechnologyNo.28Nanli RoadHong-shan DistrictWuchangWuhanHubei ProvinceChina

Research on evacuation simulation and modeling is an important and urgent issue for emergency *** paper presents an evacuation model based on cellular automata and social force to simulate the evacuation *** force of target position,repulsive forces of individuals and obstacles,as well as congestion are considered in order to simulate the interaction among evacuees and the changing environment.A visual-guidance-based artificial bee colony algorithm is proposed to optimize the evacuation *** evacuee moves toward exits with the guidance of leading bee in his/her visual *** leading bee is selected according to comprehensive factors including distance from the current individual,the number of obstacles and congestion,which avoids the randomness of roulette mechanism used by basic artificial bee colony *** experimental results indicate that the proposed model and algorithm can achieve effective performances for indoor evacuation problems with a large number of evacuees and obstacles,which accords with the actual evacuation situation.

关键词： evacuation model artificial bee colony algorithm visual guidance cellular automata social force

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The prediction of exit choice using cumulative prospect value

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Journal of Safety Science and Resilience 2023年第1期4卷 20-25页

作者： Dongli Gao Wei Xie Ruifeng Cao Eric Wai Ming Lee Richard Kwok Kit Yuen Jingwen Weng Department of Architecture and Civil Engineering City University of Hong KongHong KongChina State Key Laboratory of Fire Science University of Science and Technology of ChinaHefei230026China

Exit choice is essential for pedestrian safety and evacuation efficiency during the context of an emergency. Cumulative prospect theory is a widespread realistic decision-making theory that can transform choice outcomes and probabilities into subjective terms and integrate them as a parameter of cumulative prospect value (CPV), which determines the decision. The main contribution of this paper is the use of the CPV to predict exit choice. Furthermore, the different decision-making rules including Max, exponential(Expo), and Ratio (i.e., the three variable choice functions) were summarized and examined. This study used a confusion matrix to compare the predicted results with experimental data. Consequently, the parameters of Accuracy and F1-score showed that the predictions from Max and Expo were significantly more realistic while the results from Ratio were much more robust.

关键词： Decision-making behavior Exit choice evacuation model Cumulative prospect value

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