Enhanced Security of Unmanned Aerial Vehicles Operations at Transport Infrastructure Facilities

Author:

Shvetsova S. V.1,Shvetsov A. V.2

Affiliation:

1. Far Eastern State Transport University

2. Vladivostok State University of Economics and Service; North-Eastern Federal University

Abstract

Unmanned aerial vehicles (UAV), also known as drones, are gaining more and more practical application in modern society, particularly as the tools of implementation of the concepts of «smart city», «smart health care», «smart industries», Internet of Things, 3D mapping, digital transport. But currently it is impossible to use of UAV at certain objects, comprising objects of transport infrastructure (OTI), primarily, airports, because of existing restrictions due to security threats arising during the UAV flight.The authors of the present work have set a goal to offer a solution that allows to start operating UAV at transport infrastructure facilities that are currently prohibited for UAV flights. To achieve the objective of the work, using analysis and synthesis, comparison and generalization, factors and conditions for safe use of UAV at OTI have been formulated, a method for increasing security of UAV flight has been developed, followed by the suggestion on the UAV route control system.The proposed system makes it possible to safely use UAVs at OTI by restraining their flight area strictly to the designated corridor, which eliminates a threat of a collision of UAV with other vehicles operated at OTI, dangerous elements of OTI, as well as with people at the object.The system does not need electric power feeding, which makes it possible to implement the system without creating an auxiliary power supply infrastructure.The practical application of the proposed system and, as a consequence, implementation of a greater number of opportunities for the use of UAV, are capable to generate fundamentally new technological processes and structures at transport facilities, which is one of the directions for creating the next generation transport infrastructure based on IoT and artificial intelligence.

Publisher

FSBEO HPE Moscow State University of Railway Engineering (MIIT)

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