Published: Nov. 22, 2024
Language: Английский
Published: Oct. 29, 2024
Collective motion has been a pivotal area of research, especially due to its substantial importance in Unmanned Aerial Vehicle (UAV) systems for several purposes, including path planning, formation control, and trajectory tracking. UAVs significantly enhance coordination, flexibility, operational efficiency practical applications such as search-and-rescue operations, environmental monitoring, smart city construction. Notwithstanding the progress UAV technology, significant problems persist, attaining dependable effective coordination intricate, dynamic, unexpected settings. This study offers comprehensive examination fundamental principles, models, tactics employed comprehend regulate collective systems. paper methodically analyses recent breakthroughs, exposes deficiencies existing approaches, emphasises case studies demonstrating application motion. The survey examines effects on improving emphasizing scalability, resilience, adaptability. review is potential inform future research applications. It seeks provide systematic framework advancement more resilient scalable collaboration aiming tackle ongoing challenges domain. insights offered are essential academics practitioners dynamic environments, facilitating development sophisticated, flexible, mission-resilient multi-UAV set advance having extensive ramifications industries.
Language: Английский
Citations
5
Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 110914 - 110914
Published: Feb. 1, 2025
Language: Английский
Citations
0
Applied Sciences, Journal Year: 2025, Volume and Issue: 15(8), P. 4518 - 4518
Published: April 19, 2025
Floods resulting from dam failures are highly destructive, characterized by intense impact forces, widespread inundation, and rapid flow velocities, all of which pose significant threats to public safety social stability in downstream regions. To improve evacuation efficiency during such emergencies, it is essential study flood route planning. This aimed minimize time reduce risks personnel considering the dynamic evolution dam-break floods. Using aerial photography an unmanned vehicle, road network a reservoir was mapped. A coupled flood–road coupling model then developed integrating propagation data with information. optimized planning combining hazards real-time data. Based on this model, method proposed using Dijkstra’s algorithm. methodology validated through case Shanmei Reservoir Fujian, China. The results demonstrated that maximum level reached 18.65 m near Xiatou Village, highest velocity 22.18 m/s Reservoir. Furthermore, plans were for eight affected locations Reservoir, total 13 routes. These strategies routes resulted reduction minimized evacuees. life-loss risk process, evacuees able reach safe locations. findings confirmed method, integrated dynamics information, ensured effectiveness approach met critical needs emergency management providing timely secure paths event failure.
Language: Английский
Citations
0
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: March 14, 2025
Current static evacuation path planning methods are unable to meet the demands of real-time changes in fire scenarios. Therefore, a bi-objective dynamic (BODP) method for paths is proposed not only minimize time but also reduce thermal radiation dose received by personnel during process. The BODP includes both an equivalent rule first based on linear weighting method, and improved Dijkstra algorithm designed this paper. Because them, can normalize same degree perform multi-sink hexagonal grid map, order find optimal with lowest cost event tank farm fire. This accounts changing scenarios avoids potentially high-risk paths. Finally, case study chemical plant conducted demonstrate effectiveness method. results indicate that better suited complex resolves issue found planning: first-degree burn probabilities derived from estimated doses 34% lower than those actual doses, resulting unnecessary casualties. Additionally, applicable involving domino effects triggered incidents. provides scientific reliable technical support emergency fires, greatly contributing safety protection personnel.
Language: Английский
Citations
0
Transportation Research Part E Logistics and Transportation Review, Journal Year: 2024, Volume and Issue: 193, P. 103825 - 103825
Published: Oct. 30, 2024
Language: Английский
Citations
1
International Journal of Advanced Computer Science and Applications, Journal Year: 2024, Volume and Issue: 15(7)
Published: Jan. 1, 2024
The lack of a scientific and reasonable optimal evacuation path planning scheme is one the main causes casualties in fire accidents. In addition to high temperature harmful smoke environment, crowding problem caused by change position crowd process will also affect effect. Therefore, improving multi-agent depth deterministic strategy gradient algorithm, an AMADDPG (Adjacency Multi-agent Deep Deterministic Policy Gradient) model suitable for proposed. First, dangerous grid area defined, influence congestion degree nearest exit considered at same time. learning framework "distributed execution centralized local learning" adopted realize experience sharing among neighboring agents. Improve efficiency effect model. experimental results show that can basically adapt complex dynamic environment well, achieve within 30, ensure on maintained 0.5, which safe goal. Meanwhile, compared with MADDPG has obvious advantages terms training stability. It good application value.
Language: Английский
Citations
0
Proceedings of the 7th International Conference on Cyber Security and Information Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 364 - 368
Published: Sept. 15, 2024
Language: Английский
Citations
0
Published: Nov. 22, 2024
Language: Английский
Citations
0