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Emergency Evacuation Planning via the Point of View on the Relationship Between Crowd Density and Moving Speed

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Abstract

Emergency evacuation is concerning to both industry and academics. This work applied the technology of a wireless sensor network to design and propose a nonlinear mathematical model and heuristic approach to fire emergency evacuation problem. The proposed model first considers basic factors including the distribution of people in each area, possible safe exit locations, possible hazard locations, rooms, open spaces, doors, and junctions. Based on these common factors and the proposed heavy smoke diffusion, the objective of the proposed model is to evacuate all people in the shortest time through the concept of load balance coming from the relationship between crowd density and moving speed. The algorithm of simulated annealing is finally applied to solve the evacuation planning problem derived from the proposed model. Experimental results verify the efficiency of the proposed model and the resulting solution.

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Acknowledgements

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Funding

This work was financially supported by the “Intelligence Recognition Industry Service Research Center (IR-IS Research Center)” from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan.

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Conceptualization, C-LC and S-TC; methodology, C-LC and S-TC; software, Y-LT and C-YC; validation, S-TC and Y-LT; writing—review and editing, S-TC; All authors have read and agreed to the published version of the manuscript.

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Correspondence to Shuo-Tsung Chen.

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Chang, CL., Tsai, YL., Chang, CY. et al. Emergency Evacuation Planning via the Point of View on the Relationship Between Crowd Density and Moving Speed. Wireless Pers Commun 119, 2577–2602 (2021). https://doi.org/10.1007/s11277-021-08345-y

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