A real-time automatic fire emergency evacuation route selection model based on decision-making processes of pedestrians

Huang, Ping; Lin, Xiajun; Liu, Chunxiang; Fu, Libi; Yu, Longxing

doi:10.1016/j.ssci.2023.106332

Cited by 10 publications

(5 citation statements)

References 42 publications

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“…These algorithms aim to minimize driving time, distance, and environmental impact. Furthermore, the latest research focuses on multimodal path planning, which involves integrating different modes of transportation, including walking, cycling, and public transportation, in route planning [ 11 , 12 ]. For truck scheduling and delivery route optimization, researchers are committed to developing efficient truck scheduling algorithms to optimize truck itineraries and delivery routes, considering factors such as truck capacity, load restrictions, delivery windows, and transportation costs.…”

Section: Literature Reviewmentioning

confidence: 99%

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Enhancing shipyard transportation efficiency through dynamic scheduling using digital twin technology

Sun,

Liang,

Chang

2024

PLoS ONE

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Uncertainties, such as road restrictions at shipyards and the irregular shape of blocks, pose challenges for transporter scheduling. Efficient scheduling of multiple transporters is critical to improving transportation efficiency. The digital twin (DT) technology offers numerous benefits, enabling interactions between the virtual and real worlds, real-time mapping, and dynamic performance evaluation. Based on DT technology, this study proposes a dynamic scheduling approach for cooperative transportation utilizing multiple transporters. The scheduling problem for multiple transporters is addressed and modeled in this study, considering factors such as block size and transporter loading. To solve this problem, a framework of DT-based multiple transporters system is established in a virtual environment. By inputting block information into this system, a solution is generated using transporter scheduling rules and interference detection methods. Experimental comparisons are conducted in this paper, exploring various scenarios with different number of tasks and the application of DT. The results demonstrate that the proposed approach effectively enhances transportation efficiency and improves ship construction efficiency. Hence, this study expands the application of DT technology in dynamic scheduling of transportation in shipyards and provides new ideas for shipbuilding company managers.

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Section: Literature Reviewmentioning

confidence: 99%

“…The constraint (10) shows that each transporter only has a first task. The constraint (11) shows that each transporter just has a final task. Constraint (12) defines the start time of the next block based on the upper limit of the previous task block's end time (x t ij ) for the corresponding transporter.…”

Section: Plos Onementioning

confidence: 99%

Enhancing shipyard transportation efficiency through dynamic scheduling using digital twin technology

Sun,

Liang,

Chang

2024

PLoS ONE

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“…Route optimization is another area where AI and Machine Learning make a significant impact. During an evacuation, the selection of the safest and most efficient routes is critical (Bi et al, 2019;Huang et al, 2024;Zhu et al, 2023). AI algorithms can analyze the layout of a facility, along with real-time data on hazards or obstacles, to suggest the best possible evacuation paths.…”

Section: Ai and Machine Learningmentioning

confidence: 99%

Review of advanced emergency evacuation procedures in hospital buildings: comprehensive analysis and insights

Wu,

Nie,

Zeng

et al. 2024

Front. Built Environ.

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This research paper explores the integration of novel technologies in hospital emergency evacuations, particularly in Operating Rooms (ORs) and Emergency Departments (EDs). It examines the application of advanced tools like simulation modeling, Building Information Modeling (BIM), Digital Twin technology, sensor data, and Artificial Intelligence (AI) to improve evacuation strategies in the building. The study extends to in-depth case studies for assessing the practicality of existing protocols, while also highlighting the critical importance of staff training and preparedness. Additionally, it addresses the ethical and psychological impacts of emergencies on patients and healthcare staff, underscoring the need for technology to be complemented with human-centered care. The paper concludes by emphasizing the ongoing necessity for innovative research in enhancing safety and operational resilience in healthcare emergency management.

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“…The Dijkstra algorithm is often used for pathfinding in topological road network models [47]. Its disadvantage is that the path found is not accurate enough, although the algorithm can calculate paths quickly [48,49].…”

Section: The Scheme For Pathfindingmentioning

confidence: 99%

Integration of two different road network models for emergency rescue pathfinding in indoor and outdoor environments

Zhu,

Hu,

Chen

et al. 2024

Meas. Sci. Technol.

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The environment of buildings and outdoor transportation in urban areas is becoming increasingly complex. This poses a challenge for rescue pathfinding once an emergency occurs, which relies on the generation of road network models. To better balance efficiency and accuracy in pathfinding, a three-dimensional integrated road network model (3D-IRNM) derived from grid and topological road network models was developed in this study. Firstly, a cross-platform data loading method from BIM to Geographic Information Systems (GIS) is proposed, to serve as a data source for road network model generation and visual enhancement. Then, the topological and grid road network models are generated in indoor spaces of different functions, with IRNM obtained by the integration strategy. The 3D-IRNM can be formed by extracting indoor vertical paths from the stairs, and connecting them with the IRNM of each floor. To further combine the 3D-IRNM with outdoor environments, a CrossNode model is then proposed. Besides, an adaptive pathfinding algorithm is also proposed. Finally, the construction of an emergency path-finding system based on GIS technology is achieved. The pathfinding algorithm and the structure of 3D-IRNM helps the pathfinding both efficiency and accuracy. The practicability of the designed 3D-IRNM together with its pathfinding algorithm is well verified.

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A real-time automatic fire emergency evacuation route selection model based on decision-making processes of pedestrians

Cited by 10 publications

References 42 publications

Enhancing shipyard transportation efficiency through dynamic scheduling using digital twin technology

Enhancing shipyard transportation efficiency through dynamic scheduling using digital twin technology

Review of advanced emergency evacuation procedures in hospital buildings: comprehensive analysis and insights

Integration of two different road network models for emergency rescue pathfinding in indoor and outdoor environments

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