Searched for: subject%3A%22Traffic%255C+control%22
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Aalberse, Max (author)
During the COVID-19 pandemic people living close to the airport got accustomed to less flights, and therefore less noise disturbance. Now the amount of traffic is increasing again and so is the noise disturbance. For this research specifically the optimizing task of distributing of arriving aircraft over the IAF is addressed, as often the...
master thesis 2022
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Heunks, Lex (author)
The need for smart traffic control has grown over the last years. Initiated by an increased amount of traffic. Network-wide traffic control is becoming a more interesting field for traffic control. Mainly because computer power has increased and optimisation techniques improved. Network-wide traffic aims to improve the overall traffic state by...
master thesis 2022
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Nyessen, Nino (author)
In an effort to increase the operational efficiency in the North Atlantic region, the benefits of a decentralized, wind-optimal routing structure are researched. Such a routing structure allows for direct routing by optimizing trajectories on the individual level. Implementing a tactical conflict detection and resolution method eliminates the...
master thesis 2022
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Oosterhof, Edzer (author)
The airspace in western Europe is one of the most complex airspaces globally. With the air space already operating near maximum capacity, innovations are needed to increase airspace efficiency. This research aims to design and test a debunching concept for inbound air traffic to increase the efficiency of the arrival traffic stream. A...
master thesis 2022
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Donaldson, Narayan (author)
Traffic signals in a coordinated network normally use a common cycle length which remains constant at all times, including when there is a request for priority from a public transport vehicle. This enables green waves to be maintained effectively but can limit the signals' ability to promptly serve the prioritised vehicle....
master thesis 2022
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Remmerswaal, Willemijn (author)
Both model predictive control (MPC) and reinforcement learning (RL) have shown promising results in the control of traffic signals in urban traffic networks. There are, however, a few drawbacks. MPC controllers are not adaptive and therefore perform suboptimal in the presence of the uncertainties that always occur in urban traffic systems....
master thesis 2022
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Kloosterman, Luc (author)
In the future, Air Traffic Controllers are expected to work together with more advanced computer-based automation that can automatically take action. The main challenge is then how to design computer-based tools such that they foster acceptance among air traffic controllers. One possible approach to foster acceptance is by matching the automated...
master thesis 2022
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Leeuwenberg, Marijn (author)
Inefficient road usage in a traffic network context – i.e. over-saturation on one route, where other roads are still available – is an important problem. It appears often and in different types of situations. We concentrate on congestion caused by predicted temporary road blockades, such as open bridges. This research aims to reduce such...
master thesis 2022
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Todorović, Uglješa (author), Frejo, José Ramón D. (author), De Schutter, B.H.K. (author)
The Model Predictive Control (MPC) framework has shown great potential for the control of Variable Speed Limits (VSLs) and Ramp Metering (RM) installations. However, the implementation to large freeway networks remains challenging. One major reason is that, by considering the VSLs to be discrete decision variables, an extremely difficult Mixed...
journal article 2022
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Ribeiro, M.J. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
Current predictions on future drone operations estimate that traffic density orders of magnitude will be higher than any observed in manned aviation. Such densities redirect the focus towards elements that can decrease conflict rate and severity, with special emphasis on airspace structures, an element that has been overlooked within...
journal article 2022
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Ribeiro, M.J. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
Current predictions for future operations with drones estimate traffic densities orders of magnitude higher than any observed in manned aviation. Such densities call for further research and innovation, in particular, into conflict detection and resolution without the need for human intervention. The layered airspace concept, where aircraft...
journal article 2022
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Badea, C. (author), Groot, D.J. (author), Morfin Veytia, A. (author), Ribeiro, M.J. (author), Dalmau, Ramon (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
Air traffic demand has increased at an unprecedented rate in the last decade (albeit interrupted by the COVID pandemic), but capacity has not increased at the same rate. Higher levels of automation and the implementation of decision-support tools for air traffic controllers could help increase capacity and catch up with demand. The air traffic...
conference paper 2022
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Fiedler, David (author), Čertický, Michal (author), Alonso-Mora, J. (author), Pěchouček, Michal (author), Čáp, Michal (author)
Mobility-on-demand (MoD) systems consist of a fleet of shared vehicles that can be hailed for one-way point-to-point trips. The total distance driven by the vehicles and the fleet size can be reduced by employing ridesharing, i.e., by assigning multiple passengers to one vehicle. However, finding the optimal passenger-vehicle assignment in an...
journal article 2022
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Ribeiro, M.J. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
Future operations involving drones are expected to result in traffic densities that are orders of magnitude higher than any observed in manned aviation. Current geometric conflict resolution (CR) methods have proven to be very efficient at relatively moderate densities. However, at higher densities, performance is hindered by the...
journal article 2022
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IJtsma, Martijn (author), Borst, C. (author), van Paassen, M.M. (author), Mulder, Max (author)
Air traffic controller workload is a limiting factor in the current air traffic management system. Adaptive support systems have the potential to balance controller workload and gain acceptance as they provide support during times of need. Challenges in the design of adaptive support systems are to decide when and how to trigger support. The...
journal article 2022
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de Rooij, G. (author), Tisza, A. B. (author), Borst, C. (author), van Paassen, M.M. (author), Mulder, Max (author)
In the quest for more efficient air traffic management, a common approach is to allocate an increasing amount of functionality to higher levels of automation, with a supervisory role for humans. This potentially leads to forthcoming issues such as skill degradation and out-of-the-loop phenomenon. If the traffic in an airspace is instead shared...
conference paper 2022
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Han, Yu (author), Hegyi, A. (author), Zhang, Le (author), He, Zhengbing (author), Chung, Edward (author), Liu, Pan (author)
Conventional reinforcement learning (RL) models of variable speed limit (VSL) control systems (and traffic control systems in general) cannot be trained in real traffic process because new control actions are usually explored randomly, which may result in high costs (delays) due to exploration and learning. For this reason, existing RL-based...
journal article 2022
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Wiechers, Stephanie (author)
This study has researched what are defining factors on the attitude toward a new technology within the group of Area Control (ACC) at Luchtverkeersleiding Nederland (LVNL) and how these factors shape an Air Traffic Controller’s (ATCo) attitude toward the technology in an exploratory way. The outcomes of the research suggest that dominant factors...
master thesis 2021
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Kool, Brent (author)
Automatic Dependent Broadcast-Surveillance (ADS- B) was introduced to increase the safety of air travel. Since then it has proven to be a useful source of air traffic data for academic research because it is publicly available. Another source of information are the communications between air traffic control (ATC) and aircraft. Methods are (being...
master thesis 2021
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Kestens, Lisa (author)
Due to the continuous growth of air traffic up to the year 2020, the air transportation network has become more complex, and the airports and airspace busier. However, capacities have not grown at the same rate as air traffic, making Air Traffic Control one of the most encountered primary delays. A data driven approach is taken in order to...
master thesis 2021
Searched for: subject%3A%22Traffic%255C+control%22
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