New Findings from Nanjing University of Aeronautics and Astronautics in the Area of Risk Management Published (A dynamic task assignment model for aviation emergency rescue based on multi-agent reinforcement learning): Insurance – Risk Management

2023 SEP 11 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Fresh data on risk management are presented in a new report. According to news reporting out of Nanjing, People’s Republic of China, by NewsRx editors, research stated, “China’s natural disaster situation presents a complex and severe scenario, resulting in substantial human and material losses as a result of large-scale emergencies.”

Our news reporters obtained a quote from the research from Nanjing University of Aeronautics and Astronautics: “Recognizing the significance of aviation emergency rescue, the state provides strong support for its development. However, China’s current aviation emergency rescue system is still under construction and encounters various challenges; one such challenge is to match the dynamically changing multi-point rescue demands with the limited availability of aircraft dispatch. We propose a dynamic task assignment model and a trainable model framework for aviation emergency rescue based on multi-agent reinforcement learning. Combined with a targeted design, the scheduling matching problem is transformed into a stochastic game process from the rescue location perspective. Subsequently, an optimized strategy model with high robustness can be obtained by solving the training framework. Comparative experiments demonstrate that the proposed model is able to achieve higher assignment benefits by considering the dynamic nature of rescue demands and the limited availability of rescue helicopter crews.”

According to the news editors, the research concluded: “Additionally, the model is able to achieve higher task assignment rates and average time satisfaction by assigning tasks in a more efficient and timely manner. The results suggest that the proposed dynamic task assignment model is a promising approach for improving the efficiency of aviation emergency rescue.”

For more information on this research see: A dynamic task assignment model for aviation emergency rescue based on multi-agent reinforcement learning. Journal of Safety Science and Resilience, 2023,4(3):284-293. The publisher for Journal of Safety Science and Resilience is KeAi Communications Co., Ltd.

A free version of this journal article is available at https://doi.org/10.1016/j.jnlssr.2023.06.001.

Our news journalists report that more information may be obtained by contacting Yang Shen, College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, People’s Republic of China. Additional authors for this research include Xianbing Wang, Huajun Wang, Yongchen Guo, Xiang Chen, Jiaqi Han.

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