A Framework for Coordinated Surface Operations Planning at Dallas-Fort Worth International Airport

An Integer Programming formulation is developed for optimizing surface operations at Dallas-Fort Worth airport, with the goal of assessing the potential benefits of taxi route planning. The model is based on operations in the eastern half of the airport under the most frequently used configuration. The focus is on operational concepts that optimize taxi routes by utilizing dierent control points on the airport surface. The benefits of two dierent concepts for optimizing taxiway operations, namely controlled pushback and taxi reroutes are analyzed, for both current data and a projected data set with approximately twice the trac density. The analysis estimates that: (1) for current trac densities, controlled pushback would reduce the average departure taxi time by 17% without altering runway schedule conformance, while the benefits of taxi reroutes would be minimal; and (2) for high-density operations, controlled pushback would reduce the average departure taxi time by 18%, while incorporating taxi reroutes would reduce the average arrival taxi time by 14%. Other benefits analyzed for these control strategies include a decrease in the average time spent in runway crossing queues.

[1]  Dimitris Bertsimas,et al.  The Air Traffic Flow Management Problem with Enroute Capacities , 1998, Oper. Res..

[2]  Yoon C. Jung,et al.  Development of the Surface Management System Integrated with CTAS Arrival Tools , 2005 .

[3]  Chris Brinton,et al.  CONCEPT DESCRIPTION AND DEVELOPMENT PLAN FOR THE SURFACE MANAGEMENT SYSTEM. , 2002 .

[4]  L. Cheng.  AUTOMATION TOOLS FOR ENHANCING GROUND-OPERATION SITUATION AWARENESS AND FLOW EFFICIENCY , 2002 .

[5]  Victor Cheng.  Airport Surface Operation Collaborative Automation Concept , 2003 .

[6]  John R. Wilson,et al.  Head-Up Display Symbology for Surface Operations: Eye Tracking Analysis of Command-Guidance vs. Situation-Guidance Formats , 2005 .

[7]  V.H.L. Cheng.  Surface operation automation research for airport tower and flight deck automation , 2004, Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749).

[8]  Jimmy Krozel,et al.  Improved Taxi Prediction Algorithms for the Surface Management System , 2002 .

[9]  John-Paul Clarke,et al.  Runway operations planning: a two-stage solution methodology , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.

[10]  Victor H. L. Cheng,et al.  A study of aircraft taxi performance for enhancing airport surface traffic control , 2001, IEEE Trans. Intell. Transp. Syst..

[11]  John-Paul Clarke,et al.  A multi-objective, decomposition-based algorithm design methodology and its application to runaway operations planning , 2004 .

[12]  Anthony D. Andre,et al.  Integration of Cockpit Displays for Surface Operations: The Final Stage of a Human-Centered Design Approach , 2000 .

[13]  P. C. Roling,et al.  Optimal airport surface traffic planning using mixed-integer linear programming , 2008 .

[14]  Anthony D. Andre,et al.  Pilot Interactions with an Electronic Display Suite to support Low-visibility Taxi , 1999 .

[15]  Parimal Kopardekar,et al.  Making Internal Departure Release Operations Efficient , 2004 .

[16]  Becky L. Hooey,et al.  4-D Taxi Clearances: Pilots' Usage of Time- and Speed-Based Formats , 2006 .

[17]  R. John Hansman,et al.  Observation and Analysis of Departure Operations at Boston Logan International Airport , 2000 .

[18]  John-Paul Clarke,et al.  Identification of flow constraint and control points in departure operations at airport systems , 1998 .

[19]  B. Chandran,et al.  A Dynamic Programming Algorithm for Robust Runway Scheduling , 2007, 2007 American Control Conference.

[20]  Hamsa Balakrishnan,et al.  Scheduling Aircraft Landings under Constrained Position Shifting , 2006 .