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Integrated PTS fire evacuation path planning algorithm

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Bibliographic Details
Title: Integrated PTS fire evacuation path planning algorithm
Authors: Zhijun Gao, Meng Zhang, Xin Wang, Hongyan Zhang, Chengcheng Zhang
Source: Automatika, Vol 66, Iss 4, Pp 697-713 (2025)
Publisher Information: Taylor & Francis Group, 2025.
Publication Year: 2025
Collection: LCC:Automation
Subject Terms: Intelligent optimization algorithm, pathfinder algorithm, large building fire, Tunicate Swarm Algorithm, unmanned aerial vehicle, Control engineering systems. Automatic machinery (General), TJ212-225, Automation, T59.5
Description: Fire evacuation in large-scale buildings presents significant challenges, including prolonged evacuation times, exit congestion, and frequent communication breakdowns. To address these issues, this study proposes a novel hybrid fire evacuation path-planning algorithm that integrates the Pathfinder Algorithm (PFA) with the Tunicate Swarm Algorithm (TSA). This approach transforms the evacuation task into a sequence optimization problem, leveraging bio-inspired heuristics to enhance both safety and efficiency. The research introduces an innovative solution by integrating an IoT-enabled, cloud-based architecture supported by UAV relays, ensuring robust communication and minimizing on-site computational latency. Additionally, the development of an optimized environmental heuristic function allows the algorithm to dynamically adapt to hazardous conditions, reducing potential casualties and mitigating congestion. Experimental results across various grid configurations demonstrate significant advantages, achieving a 7.7% reduction in evacuation time and improving robustness in dynamic fire scenarios. These findings underscore the effectiveness and scalability of the PFA-TSA algorithm, positioning it as a superior solution for addressing the complexities of fire evacuation planning and advancing intelligent emergency response systems.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1848-3380
0005-1144
Relation: https://doaj.org/toc/0005-1144; https://doaj.org/toc/1848-3380
DOI: 10.1080/00051144.2025.2541982
Access URL: https://doaj.org/article/f093a9cdf163481cbc92e13347cb77cd
Accession Number: edsdoj.f093a9cdf163481cbc92e13347cb77cd
Database: Directory of Open Access Journals
Description
Abstract:Fire evacuation in large-scale buildings presents significant challenges, including prolonged evacuation times, exit congestion, and frequent communication breakdowns. To address these issues, this study proposes a novel hybrid fire evacuation path-planning algorithm that integrates the Pathfinder Algorithm (PFA) with the Tunicate Swarm Algorithm (TSA). This approach transforms the evacuation task into a sequence optimization problem, leveraging bio-inspired heuristics to enhance both safety and efficiency. The research introduces an innovative solution by integrating an IoT-enabled, cloud-based architecture supported by UAV relays, ensuring robust communication and minimizing on-site computational latency. Additionally, the development of an optimized environmental heuristic function allows the algorithm to dynamically adapt to hazardous conditions, reducing potential casualties and mitigating congestion. Experimental results across various grid configurations demonstrate significant advantages, achieving a 7.7% reduction in evacuation time and improving robustness in dynamic fire scenarios. These findings underscore the effectiveness and scalability of the PFA-TSA algorithm, positioning it as a superior solution for addressing the complexities of fire evacuation planning and advancing intelligent emergency response systems.
ISSN:18483380
00051144
DOI:10.1080/00051144.2025.2541982