Analysis of congestion of taxiing aircraft at a large airport

In large airports all over the world, a large number of aircraft are taking off and landing daily. The capacity of the runway to handle departing and arriving aircraft on an hourly basis is determined in advance. The maximum frequency of arrival and departure is decided with consideration given to safety and general operations. The above process takes only the runway operation into consideration. For that reason, congestion during aircraft taxiing (going from terminal to runway) can still occur and is affected by several factors such as the concentration of aircraft and weather. In this study, taxiing is simulated by using actual operational data of aircraft. First, we propose a strategy for easing congestion in which the service diagram, or the schedule of arriving and departing aircraft, is adjusted. Next, we propose a strategy to adjust the time that an aircraft leaves a terminal prior to taxiing. The location of an aircraft near the terminal for boarding and disembarking is referred to as the ”spot” in this paper. A simulation of aircraft taxiing was conducted, and these proposed strategies are evaluated and compared to others.

[1]  D. Kendall Stochastic Processes Occurring in the Theory of Queues and their Analysis by the Method of the Imbedded Markov Chain , 1953 .

[2]  Waheed Siddiqee,et al.  A Mathematical Model for Predicting the Number of Potential Conflict Situations at Intersecting Air Routes , 1973 .

[3]  M. J. Soomer,et al.  Scheduling aircraft landings using airlines' preferences , 2008, Eur. J. Oper. Res..

[4]  Satoshi Hoshino,et al.  Pipeless Batch Plant with Operating Robots for a Multiproduct Production System , 2008, DARS.

[5]  David Pitfield,et al.  MONTE CARLO COMES TO ROME: A NOTE ON THE ESTIMATION OF UNCONSTRAINED RUNWAY CAPACITY AT ROME FIUMUCINO INTERNATIONAL AIRPORT , 1999 .

[6]  Pius J. Egbelu,et al.  Determination of the total number of vehicles in an AGV-based material transport system , 1987 .

[7]  Eugene P. Gilbo,et al.  Airport capacity: representation, estimation, optimization , 1993, IEEE Trans. Control. Syst. Technol..

[8]  Y. Sugiyama,et al.  Traffic jams without bottlenecks—experimental evidence for the physical mechanism of the formation of a jam , 2008 .

[9]  Edmund K. Burke,et al.  On-line decision support for take-off runway scheduling with uncertain taxi times at London Heathrow airport , 2008, J. Sched..

[10]  Gordon F. Newell,et al.  Airport Capacity and Delays , 1979 .

[11]  D. Kendall Some Problems in the Theory of Queues , 1951 .

[12]  Kerner,et al.  Cluster effect in initially homogeneous traffic flow. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[13]  Yoon C. Jung,et al.  A Concept and Implementation of Optimized Operations of Airport Surface Traffic , 2010 .

[14]  Adib Kanafani,et al.  DEVELOPMENTS IN AIRPORT CAPACITY ANALYSIS , 1974 .