Due to growing congestion at major airports, many conflicts occur during the motion of aircraft on taxiways, leading to delays. This study aims to devise a strategy to arrive at optimized routes and schedules for surface movement of aircraft on taxiways, which can facilitate the airport surface movement controllers in optimal sequencing of arrivals and departures at a busy airport. Shortest routes for operation on a network of runways and taxiways are obtained using Dijkstra’s algorithm. A modified Time Dependent Shortest Route algorithm using mixed-integer programming is used for generating conflict free trajectories with minimum total overall delay for a group of aircraft operating on predetermined routes, in a given time window. The algorithm was run for a hypothetical test case on CSIA, Mumbai to illustrate its efficacy.
[1]
A. Nelson,et al.
Results of the Eurocontrol sponsored A-SMGCS ground assistance tools for Europe (AGATE) Cost Benefit Analysis (CBA)
,
1999,
Gateway to the New Millennium. 18th Digital Avionics Systems Conference. Proceedings (Cat. No.99CH37033).
[2]
Marcus M. Edvall,et al.
Tomlab - For Large-Scale Robust Optimization
,
2003
.
[3]
Edsger W. Dijkstra,et al.
A note on two problems in connexion with graphs
,
1959,
Numerische Mathematik.
[4]
P. R. Waal,et al.
An Optimisation Model for Airport Taxi Scheduling
,
2004
.
[5]
Jay Goldberg,et al.
Airport Surface Delays and Causes: A Preliminary Analysis
,
1997
.