Operators’ Load Monitoring and Management

Due to the introduction of highly automated vehicles and systems, the tasks of operators (drivers, pilots, air traffic controllers, production process managers) are in transition from “active control” to “passive monitoring” and “supervising”. As a result of this transition, the roles of task load and workload are decreasing while the role of the mental load is increasing, thereby the new type of loads might be defined as information load and communication load. This paper deals with operators’ load monitoring and management in highly automated systems. This research (i) introduces the changes in the role of operators and requirements in load management, (ii) defines the operators’ models, (iii) describes the possible application of sensors and their integration into the working environment of operators, and (iv) develops the load observation and management concept. There are some examples of analyses of measurements and the concept of validation is discussed. This paper mainly deals with operators, particularly pilots and air traffic controllers (ATCOs). Document type: Articl

Fundamental Elements of Drone Management Systems in Air Traffic Planning

Drones or Unmanned Aerial Systems (UAV – Unmanned Aerial Vehicles or UAS – UnmannedAerial Systems) are vehicles that can fly without the need for a pilot or passengers. Drones can be controlled remotely through radio waves or independently (with a previously determined route). The amount of documented accidents involving the hazardous use of drones has risensignificantly due to the increased usage of drones. To perform and increase the use of drones in air traffic management (ATM), especially in smart city planning, a variety of regulations andmanagement procedures will be implemented. This paper aims to propose management rules or regulations for drones in smart city transportation management and some approaches related to drone management and drone control. To present controlling approaches through the parameters in mathematical modelling for drones, we need a control rule, data gathering from the surroundings (usage of GIS), and a dynamic model of drones, and to present controlling and managing it with the help of a drone-following model based on a dynamic model of drones

Air Transport Projects Quality Assessments by Analytical Hierarchy Process (AHP)

The complex environment of aviation created dynamic air transport systems where the quality is vulnerable and directly sensitive to the supply side due to the high strategic level of driven market environments. The significance of quality quantifications has grown rapidly. Calculating quality factors is not a simple task, due to the heterogeneous, inseparable and incomprehensible characteristics of the system. For this purpose, the analytical hierarchy process (AHP) survey was distributed among two groups of 22 experts of pilots and ATCOs and applied by creating a three-level hierarchy model of the air transport supply quality to evaluate and weigh the critical characteristics. In the hierarchical structure, 4 main criteria, 15 first-level sub-criteria, and 12 second-level sub-criteria were used for the air transport supply quality model

Analyzing well-to-pump emissions of electric and conventional jet fuel for aircraft propulsion

Purpose - The purpose of this study is to show the emissions related to electric consumption in electric aviation. Aviation, being one of the main transportation and economical driver of global trade and consumerism, is responsible for an important ratio of anthropogenic emissions. Electric energy use in aircraft propulsion is gaining interest as a method of providing sustainable and environmentally friendly aviation. However, the production of electricity is more energy and emission sensitive compared to conventional jet fuel