A new approach for drones in reaching the destination in cargo transport

Unmanned aerial vehicles (UAV) are used in many sectors due to their decreasing cost. One of the most important sectors is cargo transportation. In recent years, the application of unmanned aerial vehicles in the delivery and logistics sector has become the focus of various research projects. There are about 70 companies that design and manufacture drones for commercial use. As technology advances, it appears that commercial companies are using UAV's in the cargo transportation industry. This solution, which aims to reduce waiting times and eliminate the cost of manpower, takes its place in the logistics process on behalf of a new delivery vehicle. Highway congestion delays order delivery to buyers, and increased CO2 emissions are damaging the air and the economy. There is no standard drone platform, the rules and regulations are not well planned yet, so simulation and testing are highly recommended. Currently, most drones don't fly in bad weather like lightning strikes and rain because they're not designed to do so transporting cargo indoors with drones is lagging behind. This can be attributed to both legal restrictions and missing technical innovations. In addition, a suitable tracking system should be introduced for both basic tracking of a drone in flight and the precise tracking required to pick up and unload cargo. At this stage, the final stage of delivery, which is considered as the last stage of the transportation route and generally refers to the transportation from the warehouse or the seller to the final buyer, is carried out from a planning perspective for many reasons. Constraints such as differences in shape and weight of the order, separate delivery locations, long distances, and the need to deliver the order on time, are as difficult and expensive as can be. While privacy, security, environment and technology issues still need to be explored, drones seem to be widely used in the final phase of product delivery with rapid technological and regulatory development. Addressing the problem of detecting obstacles just in front of the vehicle, devising a new approach for drones to avoid aerial collisions in dynamic environments, designing a new model approach for safely navigating a workspace filled with static or moving obstacles, predicting the dynamics of multiple obstacles and It is expected to be capable of avoiding them in real time. The aim of this thesis is to increase buyer satisfaction, reduce transportation costs and offer solutions to the above-mentioned problems by using drones, removing the obstacles in front of them and providing fast and environmentally friendly delivery.