Abstract: Now a days technology growth is keep on growing which changes the transport of human from roadways, waterways and airways. Due to heavy traffic on roadways, people encourage to utilize the airway transport. This interest of human in future airways also becomes traffic due to take off and land time delay. In order to avoid the time delay between the takeoff and land time, it is the need of an Intelligent technique which monitoring the activity of aircraft positioning and decides the land and take off without any disturbances. In this article proposed a technique to manage the air traffic by providing the shortest route from source to destination, monitoring the aircraft location, calculating arrival time to the destination based on the speed of aircraft, advance reservation of landing, emergency help, etc. This research work was carried out by using the hadoop distributed file system and map reduction function is used to create the feasible path in distributed framework. Hadoop framework is designed to operate on GPS and aircraft vehicular adhoc network. This new designed device was simulated in hadoop map reduction and results shown the better resource allocator for aircraft traffic control.
M. Nazini E.H. and T. Sasikala, 2016. Distributed Framework for Managing Aircraft Traffic Using Aircraft Vehicular Adhoc Networks and Hadoop Map Reduction. Asian Journal of Information Technology, 15: 3664-3672.