scholarly journals Function Allocation Strategies for the Unmanned Aircraft System Traffic Management (UTM) System, and Their Impact on Skills and Training Requirements for UTM Operators

2016 ◽  
Vol 49 (19) ◽  
pp. 42-47 ◽  
Author(s):  
Vernol Battiste ◽  
Arik-Quang V. Dao ◽  
Thomas Z. Strybel ◽  
Alexander Boudreau ◽  
Yin Kwan Wong
Keyword(s):  
Traffic Management ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft System ◽  
Training Requirements ◽  
Function Allocation ◽  
Aircraft System ◽  
And Training ◽  
Allocation Strategies

scholarly journals Unmanned Aircraft System Pilot/Operator Qualification Requirements and Training Study

2018 ◽  
Vol 179 ◽  
pp. 03006 ◽  
Author(s):  
Shengjun Qi ◽  
Feng Wang ◽  
Li Jing
Keyword(s):  
Human Factor ◽  
Rapid Development ◽  
Operating Experience ◽  
Unmanned Aircraft ◽  
Pilot Training ◽  
Unmanned Aircraft System ◽  
Training Requirements ◽  
Professional Quality ◽  
Aircraft System ◽  
And Training

With the rapid development of Unmanned Aircraft System (UAS) technology, UAS has become indispensable in military and civilian field. Growth in number of UAS and activity has required soaring demand for UAS pilot/operator who has become a hot profession in aviation. In this paper, the UAS classification and unique characteristics of operation are stated firstly. Then, considering current requirements about UAS Pilot/Operator qualification issued by aviation authorities in U.S, UK and China, the general and special qualification requirements are analyzed, which includes professional quality, medical requirements, psychological evaluation, training requirements, operating experience and cooperation. Furthermore, based on differences between UAS and manned aircraft pilot training, the training contents and methods, especially human factor and physiological health, are discussed, which is meaningful and helpful to selection and training of UAS pilot/operator.

scholarly journals SAFETY ANALYSIS OF GOODS TRANSPORTATION BY UNMANNED AERIAL VEHICLES

2020 ◽  
Vol 17 (5) ◽  
pp. 286-297 ◽  
Author(s):  
S. V. Shvetsova ◽  
A. V. Shvetsov
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Traffic Safety ◽  
Traffic Management ◽  
Aviation Safety ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft System ◽  
Aerial Vehicles ◽  
Cargo Delivery ◽  
Aircraft System ◽  
Air Vehicles

Modern transport companies around the world actively study the possibility of intra-urban transportation of goods using unmanned aerial vehicles (UAV).The objective of the study is to reveal the existing problems preventing full-scale introducing of UAVs into the operations of logistics centers that accomplish cargo delivery in modern megacities as well as to propose a possible option for their solution.The study conducted applying the methods of comparative analysis and generalization showed that the main obstacle to the use of unmanned aerial vehicles for cargo delivery is currently unsettled problem of safety when UAVs operate in the urban environment.The study has analyzed the worldwide UAV traffic safety management programs. Among the programs reviewed were U-Space (the program is implemented by the European Commission and other participants); NASA Unmanned Aircraft System Traffic Management (the program is implemented by NASA and the US Federal Aviation Administration); European Aviation Safety Agency drone categories (the program is implemented by European Aviation Safety Agency (EASA)); Urban Traffic Management of Unmanned Aircraft System (the program is implemented by Air Traffic Management Research Institute (ATMRI) and other participants). The analysis showed that these programs paid a lot of attention to preventing the UAVs collisions with other air vehicles. But almost no attention was paid to the fact that the flight routes of unmanned aerial vehicles would intersect with the ground highways.The analysis carried out in the article allows us to conclude that one of the solutions to the problem of UAV implementation in the field of cargo delivery is the development of a new concept of UAV traffic safety in the urban conditions, which will take into account the threat of collision of cargo UAV not only with air vehicles but also with ground ones. The concept should determine the requirements for thetechnology for safe traffic of drones over the main surface transport routes including highways,  highspeed railways, etc. The development of such a concept will be a turning point for starting the fullscale use of UAVs as a new and effective means of cargo delivery in the city, which, in its turn, willcreate the next-generation transport infrastructure in the cities.

scholarly journals Unmanned Aircraft System Traffic Management (UTM) Simulation of Drone Delivery Models in 2030 Japan

2021 ◽  
Vol 33 (2) ◽  
pp. 348-362
Author(s):  
Atsushi Oosedo ◽  
◽  
Hiroaki Hattori ◽  
Ippei Yasui ◽  
Kenya Harada
Keyword(s):  
Traffic Management ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft System ◽  
Model Case ◽  
Transport Efficiency ◽  
Delivery Model ◽  
Model Set ◽  
Aircraft System ◽  
Japan Aerospace Exploration Agency ◽  
Delivery Models

An unmanned aircraft system traffic management (UTM) system to support flights beyond visual line-of-sight is considered necessary for the promotion of commercial drone use. In the research and development of UTM systems, cost and time constraints make it difficult to actually fly a large number of drones in the same airspace, so research is mainly conducted using a simulator. This paper presents details of a UTM simulator named the “scalable simulator for knowledge of low-altitude environment” (SKALE) developed by the Japan Aerospace Exploration Agency (JAXA), with respect to the construction of a model case of drone delivery model set in 2030 in Japan. Moreover, UTM concepts for airspace safety and efficient airspace utilization (parcel transport) are proposed and evaluated using JAXA’s UTM simulator and drone delivery model cases. Simulation results are discussed, and the knowledge gained for the improvement of airspace safety and airspace utilization (parcel transport) efficiency is documented.

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