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Abstract: A safe and efficient aviation industry is
vital to the global economy. The growing traffic demand, rise in oil prices, delays
in building new runways and security issues are putting pressures on the system
to evolve from the current procedure-based human-centered system to a more flexible
system with higher levels of automation. Air Traffic Management (ATM) involves
several layers of decision-makers scattered between the service providers (Airports
and FAA in the United States), Airlines, General Aviation, Cargo Carriers and
other users of airspace. Several types of uncertainties are pervasive in the system.
This workshop will describe the characteristics of the ATM from a control engineer's
point-of-view, discuss problem areas in the current system and point opportunities
for improving the system behavior using methods and technology based on systems
and control concepts. A special emphasis of the workshop will be on software and
database which provide realistic simulation environments to validate solutions
to the problem. This workshop introduces the control expert to a complex engineering
application and provides interaction with leading researchers in Air Traffic Management.
The workshop is led by experts from academia, industry and government.
Talks of the workshop:
1. Modeling,
optimization and software in ATM (Banavar Sridhar)
2. Eulerian
models and air traffic flow control (P. K. Menon)
3. Linear
Eulerian model of En Route air traffic flow (Alex Bayen)
4. Separation
Assurance (Claire Tomlin)
5. Future ATM Concepts
Evaluation Tool (FACET) (Kapil Sheth)
6. CARAT#
(P. K. Menon)
7. The Berkeley Eulerian Toolbox
(Alex Bayen)
8. ATM modeling challenges (Dave
Knorr)
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