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22 November 2022 Optimization of emergency evacuation routes in terminal building based on improved Dijkstra-GA algorithm
Jingmiao Qiang, Fen Yu, Jun Zhang
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Proceedings Volume 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022); 124751F (2022) https://doi.org/10.1117/12.2659668
Event: Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 2022, Hulun Buir, China
Abstract
Aiming at the optimization of emergency evacuation paths for personnel in terminal emergencies, a path optimization method based on minimizing the cumulative danger is proposed. Taking the minimum cumulative danger degree and the minimum total evacuation time as the objective functions, a multi-objective path optimization model for emergency evacuation is established; an improved Dijkstra-GA path optimization algorithm is proposed to solve the problem, and an emergency evacuation path optimization scheme is obtained; an airport terminal is taken as an actual case, using Anylogic software to simulate the obtained scheme, and compared with the results of the traditional Dijkstra algorithm. The simulation results show that the evacuation time of the evacuation scheme solved by the improved Dijkstra-GA algorithm is 378s, which is 229s higher than that of the traditional Dijkstra algorithm. The feasibility of the path optimization scheme based on the improved Dijkstra-GA algorithm is verified.
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Jingmiao Qiang, Fen Yu, and Jun Zhang "Optimization of emergency evacuation routes in terminal building based on improved Dijkstra-GA algorithm", Proc. SPIE 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 124751F (22 November 2022); https://doi.org/10.1117/12.2659668
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KEYWORDS
Roads
Optimization (mathematics)
Genetic algorithms
Algorithm development
Computer simulations
Image segmentation
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