11,556 research outputs found
Real-time simulations to evaluate the RPAS integration in shared airspace
This paper presents the work done during the first year in the WP-E project ERAINT (Evaluation of the RPAS-ATM
Interaction in Non-Segregated Airspace) that intends to evaluate by means of human-in-the-loop real-time simulations the interaction between a Remotely Piloted Aircraft System (RPAS) and the Air Traffic Management (ATM) when a Remotely Piloted Aircraft (RPA) is being operated in shared airspace. This interaction will be evaluated from three different perspectives. First, the separation management, its results are presented in this paper. Secondly, during the next year, the contingency management, also including loss of link situations and, lastly, the capacity impact of such operations in the overall ATM system.
The used simulation infrastructure allows to simulate realistic exercises from both the RPAS Pilot-in-Command (PiC) and the Air Traffic Controller (ATCo) perspectives. Moreover, it permits to analyze the actual workload of the ATC and to evaluate several support tools and different RPAS levels of automation from the PiC and ATC sides. The simulation results and the usefulness of the support tools are presented for each selected concept of operations.Peer ReviewedPostprint (published version
Engage D2.2 Final Communication and Dissemination Report
This deliverable reports on the communication and dissemination activities carried out by the Engage consortium over the duration of the network.
Planned activities have been adapted due to the Covid-19 pandemic, however a full programme of workshops and summer schools has been organised. Support has been given to the annual SESAR Innovation Days conference and there has been an Engage presence at many other events.
The Engage website launched in the first month of the network. This was later joined by the Engage ‘knowledge hub’, known as the EngageWiki, which hosts ATM research and knowledge. The wiki provides a platform and consolidated repository with novel user functionality, as well as an additional channel for the dissemination of SESAR results.
Engage has also supported and publicised numerous research outputs produced by PhD candidates and catalyst fund projects
Transport 2040 : analysis of technical developments in transport - maritime, air, rail and road
A number of technical and socio-technical factors are driving the development and adoption of automation. The report, Transport 2040: Automation, Technology, Employment – The Future of Work, provided an overview of the most important trends forecasted to affect the global transport sector by 2040. This current report provides additional details of that assessment. The research conducted is guided by a transport-technology analytical model that provides a structure for a systematic review across different modes of transport. This report reviews, in particular, the transportation technology through the lens of transport vehicles (e.g. ships, trucks, trains, aircraft) and the technical infrastructure that is needed for the operation of the vehicle (e.g. waterways and harbours, roads, railway tracks and freight terminals, as well as controlled airspace and airports).https://commons.wmu.se/lib_reports/1076/thumbnail.jp
The Logistical Challenges of the SpaceLiner Concept
The SpaceLiner concept developed at DLR combines extremely fast transport (90 minutes from Europe to Australia) with the experience of Space flight. As such it is different from the spaceflight which focuses exclusively on space tourism but it combines space tourism with for example business travel. The SpaceLiner is designed to carry 50 passengers in suborbital flight. The conceptual technical design presents some challenges which have already been partially investigated at DLR [1]. However, the overall commercial concept presents a number of different challenges. This paper will identify and describe the logistical challenges involved
A theoretical framework of sustainability in air transportation planning and future prospects of airport infrastructure upgrading : a case study of Kuala Lumpur International Airport 2 (KLIA 2)
Air transportation has become the fastest growing mode of transportation in adapting with the transportation facilities and services provided. The developments of air transportation have surrounded with the introduction of much larger transport aircraft and rising airport infrastructure upgrading nowadays. Due to the increasing importance of enlargements in airport facility, this has become a concern for policy makers and academics. Although the time value and greatest cost efficiency are obtained from the airport facilities, there are negative externalities produced by airport developments. Due to the increasing importance of enlargements in airport capacity, it should also regard as the management of the environmental impact on surrounding areas. Literature has found that airport operations may produce various regulated pollutants, including volatile organic compounds (VOCs), carbon monoxide (CO), and particulate matter (PM) (Luther, 2007).This paper aims at identifying the sustainability in air transportation planning and future prospects of airport infrastructure upgrading; using the KLIA 2 as a case study. At most airports, the major environmental concerns embrace local air quality, noise, sustainability and recycling along with habitat and wildlife management. Issues relating to the sustainability of specific industrial sectors such as aviation are relatively under researched. Procedures and technologies for environmental protection, environmental efficiency and impact mitigation receive a considerable degree of attention from industry, government and academia alike has to be increased. Even though the airport expansion is very important to cater the demand, however, there are some policies and strategies that need to be considered to balance the need and the future. Conventionally, the planning of airport infrastructure
upgrading has only focused on elements surrounded by the airport; such as supply and demand forecasts and other
aeronautical and engineering. But the recent airport framework presents new situations that cannot be solved by
traditional methods since new and external variables are intrinsic to the decision-making process (Graham and Guyer,
1999).The study will focus on the environmental impacts of the KLIA 2 constructions which are ongoing. However, this
paper highlight the literature background on impact of airport expansion on air pollution and noise issues to the
environment as well as to the community
Influences on aircraft target off-block time prediction accuracy
With Airport Collaborative Decision Making (A-CDM) as a generic concept of
working together of all airport partners, the main aim of this research project was to
increase the understanding of the Influences on the Target Off-Block Time (TOBT)
Prediction Accuracy during A-CDM. Predicting the TOBT accurately is important,
because all airport partners use it as a reference time for the departure of the flights after
the aircraft turn-round. Understanding such influencing factors is therefore not only
required for finding measures to counteract inaccurate TOBT predictions, but also for
establishing a more efficient A-CDM turn-round process.
The research method chosen comprises a number of steps. Firstly, within the
framework of a Cognitive Work Analysis, the sub-processes as well as the information
requirements during turn-round were analysed. Secondly, a survey approach aimed at
finding and describing situations during turn-round that are critical for TOBT adherence
was pursued. The problems identified here were then investigated in field observations
at different airlines’ operation control rooms. Based on the findings from these previous
steps, small-scale human-in-the-loop experiments were designed aimed at testing
hypotheses about data/information availability that influence TOBT predictability. A
turn-round monitoring tool was developed for the experiments.
As a result of this project, the critical chain of turn-round events and the decisions
necessary during all stages of the turn-round were identified. It was concluded that
information required but not shared among participants can result in TOBT inaccuracy
swings. In addition, TOBT predictability was shown to depend on the location of the
TOBT turn-round controller who assigns the TOBT: More reliable TOBT predictions
were observed when the turn-round controller was physically present at the aircraft.
During the experiments, TOBT prediction could be improved by eight minutes, if
available information was cooperatively shared ten minutes prior turn-round start
between air crews and turn-round controller; TOBT prediction could be improved by 15
minutes, if additional information was provided by ramp agents five minutes after turnround
start
Engage D3.10 Research and innovation insights
Engage is the SESAR 2020 Knowledge Transfer Network (KTN). It is managed by a consortium of academia and industry, with the support of the SESAR Joint Undertaking. This report highlights future research opportunities for ATM. The basic framework is structured around three research pillars. Each research pillar has a dedicated section in this report. SESAR’s Strategic Research and Innovation Agenda, Digital European Sky is a focal point of comparison. Much of the work is underpinned by the building and successful launch of the Engage wiki, which comprises an interactive research map, an ATM concepts roadmap and a research repository. Extensive lessons learned are presented. Detailed proposals for future research, plus research enablers and platforms are suggested for SESAR 3
System elements required to guarantee the reliability, availability and integrity of decision-making information in a complex airborne autonomous system
Current air traffic management systems are centred on piloted aircraft, in which all the
main decisions are made by humans. In the world of autonomous vehicles, there will
be a driving need for decisions to be made by the system rather than by humans due
to the benefits of more automation such as reducing the likelihood of human error,
handling more air traffic in national airspace safely, providing prior warnings of
potential conflicts etc. The system will have to decide on courses of action that will
have highly safety critical consequences. One way to ensure these decisions are
robust is to guarantee that the information being used for the decision is valid and of
very high integrity. [Continues.
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