Abstract
Unmanned aerial vehicles (UAVs) attract public attention because of its mobility, transportability and agility. UAVs can be assistants in disaster relief operation, and such a transportable disaster response UAV system is supposed to take responsibility for both reconnaissance and delivery of supplies. There are many researches about UAV system used when disasters occur. Nevertheless, how to identify the deployment locations where UAVs take off is seldom considered. Furthermore, the space for deployment is limited because of the adverse condition of the ground, but there will be a large requirement of disaster relief supplies. There is an urgent need for utilizing limited space to store as many as possible required supplies delivered to destinations. Aiming to solve the first problem, we identify the best locations for deployment, which makes the disaster response system reconnoiter as many as possible main roads when promising to delivery supplies to as many as possible destinations in some areas. For the second one, we propose an algorithm to maximize the space utilization, which allows the system to store more supplies in a given space.
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Wang, N., Zheng, J., Tong, J., Zhang, K. (2019). Joint Location Selection and Supply Allocation for UAV Aided Disaster Response System. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11743. Springer, Cham. https://doi.org/10.1007/978-3-030-27538-9_2
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DOI: https://doi.org/10.1007/978-3-030-27538-9_2
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