Paper
23 May 2022 Research on fire rescue path based on improved bidirectional A* algorithm
Jie Ren, Yuyi Wang, Jianwen Yan
Author Affiliations +
Proceedings Volume 12254, International Conference on Electronic Information Technology (EIT 2022); 122542W (2022) https://doi.org/10.1117/12.2638817
Event: International Conference on Electronic Information Technology (EIT 2022), 2022, Chengdu, China
Abstract
Aiming at the problems of large search range, long calculation time and low efficiency of traditional A* algorithm in highrise fire rescue path exploration, an improved bidirectional A* algorithm suitable for modern fire rescue path exploration is proposed. Firstly, the bidirectional search mechanism is combined to effectively avoid the influence of excessive fluctuation of estimated value on search speed and accuracy. Secondly, the multi-path pruning strategy is used to narrow the search range of each step and reduce the traversal of useless nodes. Finally, the Floyd algorithm is used to process the generated path to make it smooth. Considering the subjective initiative of people, it is more in line with the actual situation. By simulating the traditional A* algorithm and the improved A* algorithm on the same map, the effectiveness of the improved A* algorithm and the practicability of exploring species in modern fire rescue path are verified.
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Jie Ren, Yuyi Wang, and Jianwen Yan "Research on fire rescue path based on improved bidirectional A* algorithm", Proc. SPIE 12254, International Conference on Electronic Information Technology (EIT 2022), 122542W (23 May 2022); https://doi.org/10.1117/12.2638817
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KEYWORDS
Detection and tracking algorithms

Buildings

Computer simulations

Safety

Genetic algorithms

Lithium

Unmanned aerial vehicles

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