Abstract
Air traffific congestion is considered to be the main problem in air traffific management. It represents a real handicap in the current rising air traffific flflows without a corresponding enhancement in airport infrastructure. This issue leads to more workloads for air traffific controllers, air stakeholders and other airport operations. The following paper aims to minimize the departure aircraft taxiing time in the movement area. This duration can be affected by several factors such as routing, taxiing speed, holding while taxiing ... etc. In this work, we are going to solve the previous problem by using a tactical planning tool: it consists on assigning effificient and nonstop routes to the scheduled traffific on departure. This tool, using a real-time algorithm, will detect in advance routing conflflicts and solve them before aircraft leave stands and approach the hotspots in taxing network. Furthermore, the proposed method will optimize the use of the available ground network by acting on the taxiing speed in order to reduce departures’ delays, fuel consumption and gas emissions.
Highlights
The air traffic volume has made a new record in the year of 2018 with an increase of 3,8 in air transportation movements
The same report was established at the International Air Transport Association IATA when it comes to the continuous expansion of air transportation
[30] Described a heuristic employed to find optimized speed profiles related to Fuel consumption reached by applying the ”CTxT” which maintains the traveling at constant speed phase for a longer period
Summary
The air traffic volume has made a new record in the year of 2018 with an increase of 3,8 in air transportation movements. The first problem to be solved is the ground movement of aircraft at airports It represents the beginning of the all following congestion problems, and leads to increased flight delays and costs. On another hand, aircraft engines are inefficient at low speed on the ground. It is going to apply optimized speed adjustments, (which can be controlled all along the taxiing phase) and assist air traffic controllers with a decision support tool. MANSOURI routes, in order to reduce congestion, fuel consumption (space befor fuel), emissions and predict more accurately the taxiing time It optimizes the planned departure routes by taking into account several evaluation functions and different aspects of departure management in order to enhance capacity and efficiency
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