Abstract
Aviation emergency rescue is an effective means of nature disaster relief that is widely used in many countries. The dispatching plan of aviation emergency rescue guarantees the efficient implementation of this relief measure. The conventional dispatching plan that does not consider random wind factors leads to a nonprecise quick-responsive scheme and serious safety issues. In this study, an aviation emergency rescue framework that considers the influence of random wind at flight trajectory is proposed. In this framework, the predicted wind information for a disaster area is updated by using unscented Kalman filtering technology. Then, considering the practical scheduling problem of aircraft emergency rescue at present, a multiobjective model is established in this study. An optimization model aimed at maximizing the relief supply satisfaction, rescue priority satisfaction, and minimizing total rescue flight distance is formulated. Finally, the transport times of aircraft with and without the influence of random wind are analyzed on the basis of the data of an earthquake disaster area. Results show that the proposed dispatching plan that considers the constraints of updated wind speed and direction is highly applicable in real operations.
Highlights
Among all countermeasures for disaster relief and emergency response treatment, air rescue is the most effective and popular one globally; this approach offers the advantages of high speed, high efficiency, and few geospatial constraints [1, 2]
Considering the practical scheduling problem of aircraft emergency rescue at present, a multiobjective model is established in this study
Air rescue requires quick reaction, efficient performance, scientific implementation, and safe operation. This scientific implementation shows that air rescue is a technologically demanding collaborative operation whose goals can only be achieved through scientific organization
Summary
Among all countermeasures for disaster relief and emergency response treatment, air rescue is the most effective and popular one globally; this approach offers the advantages of high speed, high efficiency, and few geospatial constraints [1, 2]. Considering the dynamic change of resource information in the rescuing process, the followup decision can be affected by the reckoning error of the prior stage This effect is especially evident if the dynamic scheduling discipline is determined using only the probability calculation of emergency prearranged planning. The contributions of this paper are as follows: (1) we propose an aviation emergency rescue framework that considers the influence of random wind at flight trajectory; (2) rescue priority satisfaction, as an object function, is added in the optimization model which can acquire rescue plan of heavy disaster area; (3) the proposed model is compared with the emergency logistics distribution model in [9], and the results confirm that the proposed model is more feasible and applicable to practical situations.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
