958 resultados para Air traffic control.
Resumo:
Ponencia invitada sobre gestion de trafico aereo en el curso de verano de la UPM Research in Decision Support Systems for future Air Traffic Management
Resumo:
The SESAR (Single European Sky ATM Research) program is an ambitious re-search and development initiative to design the future European air traffic man-agement (ATM) system. The study of the behavior of ATM systems using agent-based modeling and simulation tools can help the development of new methods to improve their performance. This paper presents an overview of existing agent-based approaches in air transportation (paying special attention to the challenges that exist for the design of future ATM systems) and, subsequently, describes a new agent-based approach that we proposed in the CASSIOPEIA project, which was developed according to the goals of the SESAR program. In our approach, we use agent models for different ATM stakeholders, and, in contrast to previous work, our solution models new collaborative decision processes for flow traffic management, it uses an intermediate level of abstraction (useful for simulations at larger scales), and was designed to be a practical tool (open and reusable) for the development of different ATM studies. It was successfully applied in three stud-ies related to the design of future ATM systems in Europe.
Resumo:
This paper describes an agent-based approach for the simulation of air traffic management (ATM) in Europe that was designed to help analyze proposals for future ATM systems. This approach is able to represent new collaborative deci-sion processes for flow traffic management, it uses an intermediate level of ab-straction (useful for simulations at larger scales), and was designed to be a practi-cal tool (open and reusable) for the development of different ATM studies. It was successfully applied in three studies related to the design of future ATM systems in Europe.
Resumo:
This article describes a knowledge-based application in the domain of road traffic management that we have developed following a knowledge modeling approach and the notion of problem-solving method. The article presents first a domain-independent model for real-time decision support as a structured collection of problem solving methods. Then, it is described how this general model is used to develop an operational version for the domain of traffic management. For this purpose, a particular knowledge modeling tool, called KSM (Knowledge Structure Manager), was applied. Finally, the article shows an application developed for a traffic network of the city of Madrid and it is compared with a second application developed for a different traffic area of the city of Barcelona.
Resumo:
Texas Department of Transportation, Research and Technology Transfer Office, Austin
Resumo:
Transportation Department, Office of University Research, Washington, D.C.
Resumo:
Federal Highway Administration, Office of Implementation, Washington, D.C.
Resumo:
Federal Highway Administration, Office of Implementation, Washington, D.C.
Resumo:
Federal Highway Administration, Office of Research, Washington, D.C.
Resumo:
Federal Highway Administration, Office of Research, Washington, D.C.
Resumo:
Federal Highway Administration, Office of Research, Washington, D.C.
Resumo:
Federal Highway Administration, Office of Research, Washington, D.C.
Resumo:
Texas State Department of Highways and Public Transportation, Transportation Planning Division, Austin