# Unmanned Aerial Vehicles Rescue System Design and Traffic Model Planning
###### Abstract  
Unmanned Aerial Vehicles (UAV) are widely used in disaster relief and road exploration in recent years. This paper mainly studied the emergency response of UAVs after disasters. The UAV response system is mainly suitable for the distribution of necessities and road exploration after geological disasters and tsunamis in coastal areas. By analyzing the problem and making reasonable assumptions, the optimization model was established with the traffic planning theory, and MATLAB software was used to program and solve the problem. An optimal scheduling scheme was presented to solve these problems. The normalization method was used to select a highly capable UAV. Taking the minimum volume of idle space buffer material as the objective function and taking into account the constraints, such as payload of unmanned aerial vehicle, a single objective programming model was established. The results are as follows: Each International Standards Organization (ISO) cargo container has five UAVs B, one UAV C, one UAV F and one UAV H. It provides 188 days of relief requirements with ISO cargo containers' space utilization of 71.4%. The research shows that the UAV response system has the functions of necessities distribution and road exploration after disasters, and can be used to deal with the emergency response after disasters in coastal areas, and has a wide range of applicability. transportation planning; optimal design; normalization method; single-target planning model +
Footnote †: journal:  
doi: 10 October 2021  
Accepted: 4 November 2021  
Published: 8 November 2021  
**Publisher's Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. **  
**1. Introduction**  
How to develop a timely and efficient disaster relief program has been widely studied. With the acceleration of global warming, more and more people are affected by worsening tsunamis and hurricanes [1, 2]. Earthquakes and other geological disasters also bring endless disasters to human beings [3, 4, 5]. The storm, with fierce winds and heavy rain, knocked down utility poles and almost all transmission lines [6]. In recent years, human beings have carried out a lot of research on tsunami warnings [7, 8, 9], and put forward some solutions to the problem of disaster relief [10, 11]. In order to respond to the emergency response after a disaster, many emergency disaster relief systems have been designed. [PERSON] et al. [12] and [PERSON] et al. [13] achieve an emergency response by prepositioning disaster relief supplies. A certain amount of emergency supplies were stored in specific locations to respond to disasters. [PERSON] [14] and [PERSON] et al. [15] used helicopters to transport relief supplies by planning specific routes. A large number of materials were transported by helicopter clusters, which eases material demand. [PERSON] et al. [16] used bionic robots to handle emergency response problems. However, some of these methods have higher requirements for the surrounding environment, and some have not solved the transportation problems of emergency materials, especially pharmaceuticals. To address the emergency response after a disaster, an unmanned aerial vehicle rescue system was planned and designed. The system should have road reconnaissance and emergency drug distribution functions and be able to deploy quickly. It is necessary to develop a reasonable disaster response system model [17]. The key to UAV disaster relief is the configuration of items and the planning of routes. In this respect, many people had done some research, for example, [PERSON] et al. [18] presented an ellipsoidal mapping algorithm (EMA) that was designed using covariance ellipsoids and clustering algorithms. [PERSON] et al. [19] presented a brief analysis of the WiSAR problem with an emphasis on practical aspects of visual-based aerial search. [PERSON] et al. [20] proposed an air-based collaborative vehicle network architecture. [PERSON] et al.