Tired of waiting inside the aircraft while it waits on the tarmac for take-off clearance or hovering over Delhi as the pilot waits to get a clearance for landing? Here is a piece of good news for air travellers.
In order to ensure that airlines operate on time, Delhi's Indira Gandhi International Airport (IGIA) has introduced a system called Airport Collaborative Decision Making (A-CDM).
According to details, the A-CDM concept focuses on improving air traffic flow and capacity management at airports by reducing delays, improving the predictability of events and optimizing the utilisation of resources. It involves airport operators, airlines, ground handlers and ATC collaborating and sharing data to increase overall airport efficiency.
"This move will allow us to achieve annual savings at IGI Airport of 2500 tons air turbine fuel (ATF) and also lead to 7850 tons of saved CO2 emission by reduced taxiway time of aircrafts by even a minuscule one minute per airplane. In addition, with three operating runways and the upcoming state of the art ATC tower, we are poised to handle a huge air traffic with best accuracy and efficiency," DIAL chief executive officer (CEO) I Prabhakara Rao said.
The airport, which used to handle 60 aircraft movements per hour till some time ago, has now increased its capacity to 80 movements per hour and plans to increase it further. The project aims to improve the overall efficiency of operations at an airport, with a particular focus on the aircraft turn-round and pre-departure sequencing process.In the A-CDM approach, the time of landing of an incoming aircraft, its turnaround time (time taken between an aircraft's landing and take off) and the next departure of the flight are defined to make the operation precise and predictable.
Two of the most important elements are time fixed by the airline at which the aircraft is ready with its doors closed, between 45 minutes and 20 minutes, before the estimated departure and Target Start-up Approval Time. Based on this time, the air traffic controller knows the demand of the runway and accordingly plans the optimal departure sequence.