Optimizing Conflict Resolution Techniques to Reduce Aircraft Fuel Consumption and Emissions
Abstract
This project aims to minimize the effect of conflict resolution strategies on aircraft emissions using a mathematical model and a genetic algorithm with a realistic approach. For this purpose, we take into account speed, heading, and altitude maneuvers during the cruise phase of flight. In addition, changes in fuel and emissions during decent, climb, speed increase, speed decrease and heading maneuvers are also considered.
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Mustafa Özdemir* Öznur Usanmaz Enis Turhan Turgut Müjgan Sağır *[email protected] Objective Methodology Experiments §To determine the best conflict resolution strategy to minimize fuel consumption and aircraft emissions (NOx, CO2, CO, and HC). §To investigate how the conflict resolution strategies differ for minimizing fuel and emissions. §To analyze the gap between the result of the model and of real-time simulations. B738 CFM56-7B26 Solution Case 1 Altitude Heading Speed Air Traffic Controller Stage 1: Testing the model §Symmetric configuration §Same aircraft speeds Stage 2: Evaluating the performance of the models in a real sector §Aircraft are in different points in the sector §Different aircraft speeds Stage 3: Real-time simulations Case 1: Controllers are free to implement any conflict resolution strategy they prefer. Case 2: Controllers use the same strategy obtained from the mathematical model & genetic algorithm for each conflict situation. §This project considers an airspace sector with certain boundaries. §The coordinates, speeds and headings of aircraft are known at the beginning. §No wind conditions. §Realistic maneuvers: Maneuvers are not instantaneous. §Including speed, heading and altitude change. §Using Flight Data Records (FDR). §Investigating different aircraft emissions. Conflict resolution strategies to minimize fuel and emissions Geometric data (Aircraft positions) §Aircraft mass §Flight speed §Maneuver limits Fast-time simulations Real-time simulations Genetic algorithm Mathematical model FDR data Filtering the data BFFM2 + ICAO emission data bank Estimation of aircraft emissions Fuel flow This project received funding from the Scientific and Technological Research Council of Turkey (TUBITAK) –Project number: 122M451 AC1 AC2 *p *p *Predicted conflict point Optimizing Conflict Resolution Techniques to Reduce Aircraft Fuel Consumption and Emissions TACTICIAN Project Results from the models Case 2 Model Solution Altitude Heading Speed Air Traffic Controller