A decision support methodology for dynamic taxiway and runway conflict prevention

Logic needed for decision support to detect and resolve airport surface conflicts is defined in this article based on complex network theory. In this article, conflicts in airport surface operations are defined, along with a methodology to model and analyze airport surface constraints. The conflict detection and resolution logic take advantage of properties of complex conflict networks for effective conflict detection and resolution. It is demonstrated and validated with the case of a modeled Hartsfield Atlanta International Airport. Further research will also include validation of the conflict detection and resolution logic with real airport surface operations data.

[1]  Kalyan Moy Gupta,et al.  A connectionist approach for similarity assessment in case-based reasoning systems , 1997, Decis. Support Syst..

[2]  Yiyuan Zhao,et al.  Time-of-Arrival Taxi Conformance Monitoring for Surface Operations , 2010 .

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

[4]  Mark E. J. Newman,et al.  Structure and Dynamics of Networks , 2009 .

[5]  D J PRICE,et al.  NETWORKS OF SCIENTIFIC PAPERS. , 1965, Science.

[6]  Victor H. L. Cheng,et al.  Trajectory design for aircraft taxi automation to benefit trajectory-based operations , 2009, 2009 7th Asian Control Conference.

[7]  A. Barabasi,et al.  Bose-Einstein condensation in complex networks. , 2000, Physical review letters.

[8]  Duncan J. Watts,et al.  The Structure and Dynamics of Networks: (Princeton Studies in Complexity) , 2006 .

[9]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[10]  B. Bollobás.  The evolution of random graphs , 1984 .

[11]  Katia P. Sycara,et al.  Machine learning for intelligent support of conflict resolution , 1993, Decis. Support Syst..

[12]  Heinz Erzberger,et al.  Tactical Conflict Alerting Aid for Air Traffic Controllers , 2009 .

[13]  A. Rapoport,et al.  Connectivity of random nets , 1951 .

[14]  Shimon Y. Nof,et al.  Conflict and error prevention and detection in complex networks , 2012, Autom..

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

[16]  Sang Won Yoon,et al.  Demand and capacity sharing decisions and protocols in a collaborative network of enterprises , 2010, Decis. Support Syst..

[17]  Richard C. Hicks,et al.  The no inference engine theory - Performing conflict resolution during development , 2007, Decis. Support Syst..

[18]  P. Erdos,et al.  On the strength of connectedness of a random graph , 1964 .

[19]  Shimon Y. Nof,et al.  A decentralised conflict and error detection and prediction model , 2010 .

[20]  Edmund K. Burke,et al.  The Airport Ground Movement Problem: Past and Current Research and Future Directions , 2010 .

[21]  S. Yoon,et al.  Transportation security decision support system for emergency response: A training prototype , 2008, Decis. Support Syst..

[22]  Harry N. Swenson,et al.  Design and Operational Evaluation of the Traffic Management Advisor at the Ft. Worth Air Route Traffic Control Center , 1997 .

[23]  Steven J. Landry,et al.  Separation Assurance and Collision Avoidance Concepts for the Next Generation Air Transportation System , 2009, HCI.

[24]  Steven J. Landry,et al.  State-based modeling of continuous human-integrated systems: An application to air traffic separation assurance , 2010, Reliab. Eng. Syst. Saf..

[25]  Andrei Z. Broder,et al.  Graph structure in the Web , 2000, Comput. Networks.

[26]  Albert-László Barabási,et al.  Internet: Diameter of the World-Wide Web , 1999, Nature.

[27]  Husni Idris,et al.  Distributed traffic complexity management by preserving trajectory flexibility , 2007, 2007 IEEE/AIAA 26th Digital Avionics Systems Conference.