AIR TRAFFIC RUNWAY ALLOCATION PROBLEM USING
ARTMAP (ART1)
Krishan Kumar1
1 Invertis Institute of Management Studies, Bareilly, India (kumar_krishana@yahoo.com)
Ravendra Singh2
2 Department of CSIT,IET, MJP Rohilkhand University, Bareilly, India (rsingh_iet@rediffmail.com)
Zubair Khan3
3Department of Computer Science, IIET, Bareilly, India (zubair_762001@yahoo.com)
Ajai Indian3
3 Invertis Institute of Management Studies,Bareilly (indian_ajai123@rediffmail.com)
ABSTRACT
The biggest of the ATC challenges is the continuing rise in traffic volumes and which
is increasing the movements of airbuses around the airport due to busy runways. This
air traffic congestion is increasing the running cost of flights due to unwanted
movement of airbuses around the airport and it will also increase the chances of the
airbus collision. Such type of problem can be solved either by increasing runway’s
capacity which is very costly or by means of providing some artificial intelligence
solutions to optimize the utilization of existing capacity. So for optimum utilization of
existing resources, some researchers have given the genetic algorithm based solutions
but these solutions are not able to minimize the average arrival delay of the air traffic
less than 11.25 minutes. In this paper we have proposed Adaptive Resonance Theory
ART (ART1) algorithm to produce optimize solution. Our result shows that the
average arrival delay of 9 flights using ARTMAP has been minimized to 10.55
minutes.
KEYWORDS- ATC (Air Traffic Control), ATM (Air Traffic Management), Adaptive
resonance theory
1 INTRODUCTION
Today as we know that Air Traffic is going to
increase day by day and creates traffic congestion,
delay of flights at airport and hence loss to air
industry due to increase in running cost. However,
continuing rise in traffic volume can be solved by
increasing the existing capacity and will require
investment
in
new automated
systems
and
infrastructure. Improving the current systems will