On the control of airport departure operations.

This thesis is focused on airport departure operations; its objective is to assign a value to surface surveillance information within a collaborative framework. The research develops a cooperative concept that improves the control of departure operations at busy airports and evaluates its merit using a classical and widely accepted airport departure model. The research then assumes departure operations are collaboratively controlled and develops a stochastic model of taxi operations on the airport surface. Finally, this study investigates the effect of feeding back different levels of surface surveillance information to the departure control process. More specifically, it examines the environmental and operational impact of aircraft surface location information on the taxi clearance process. Benefits are evaluated by measuring and comparing engine emissions for given runway utilization rates.

Department dc:contributor.department

Electrical and Computer Engineering

Grantor dc:publisher

Georgia Institute of Technology

Year dc:date.issued

2010

Author dc:creator

• Burgain, Pierrick Antoine

Advisors dc:contributor.advisor

• McLaughlin, Steven W.
• Feron, Eric

Committee members dc:contributor.committeemember

• Riley, George F.
• Jeff S. Shamma
• John-Paul Clarke
• Karen Feigh

• Taxiway
• Airport
• Operations
• Markov
• Markov decision process
• Aviation
• Air transportation
• Optimization
• Departure
• Queue
• Collaborative decision making
• Virtual queuing
• Pushback

Handle dc:identifier.uri

http://hdl.handle.net/1853/37261

OAI identifier oai:identifier

oai:repository.gatech.edu:1853/37261