Abstract
Aircraft emissions are the main cause of airport air pollution. One of the keys to achieving airport energy conservation and emission reduction is to optimize aircraft taxiing paths. The traditional optimization method based on the shortest taxi time is to model the aircraft under the assumption of uniform speed taxiing. Although it is easy to solve, it does not take into account the change of the velocity profile when the aircraft turns. In view of this, this paper comprehensively considered the aircraft’s taxiing distance, the number of large steering times and collision avoidance in the taxi, and established a path optimization model for aircraft taxiing at airport surface with the shortest total taxi time as the target. The genetic algorithm was used to solve the model. The experimental results show that the total fuel consumption and emissions of the aircraft are reduced by 35% and 46%, respectively, before optimization, and the taxi time is greatly reduced, which effectively avoids the taxiing conflict and reduces the pollutant emissions during the taxiing phase. Compared with traditional optimization methods that do not consider turning factors, energy saving and emission reduction effects are more significant. The proposed method is faster than other complex algorithms considering multiple factors, and has higher practical application value. It is expected to be applied in the more accurate airport surface real-time running trajectory optimization in the future. Future research will increase the actual interference factors of the airport, comprehensively analyze the actual situation of the airport’s inbound and outbound flights, dynamically adjust the taxiing path of the aircraft and maintain the real-time performance of the system, and further optimize the algorithm to improve the performance of the algorithm.
Highlights
With the rapid growth of traffic flow in the civil aviation transportation industry, the operation of major airports in China has become increasingly congested, and the operational safety and efficiency problems of airport surfaces have become increasingly serious
Aircraft, the large number of turns in the taxiing and the collision avoidance, and conducts path this paper comprehensively considers the factors such as the taxiing distance of the aircraft, the large planning research on the aircraft that taxis in the airport surface to reduce the total taxiing time of the number of turns in the taxiing and the collision avoidance, and conducts path planning research on the aircraft, save aviation fuel and reduce the amount of gaseous pollutants emitted in the taxiing stage aircraft that taxis in the airport surface to reduce the total taxiing time of the aircraft, save aviation fuel of the aircraft
For aircrafts on the airport surface, the total fuel consumption and emissions of all aircrafts were reduced by about 17% compared with before optimization
Summary
With the rapid growth of traffic flow in the civil aviation transportation industry, the operation of major airports in China has become increasingly congested, and the operational safety and efficiency problems of airport surfaces have become increasingly serious. In 2014, Ravizza [2] studied aircraft path planning in airport surface considering time and fuel consumption, and introduced a sequence diagram-based algorithm to solve this problem. This method increases the authenticity of the model and more accurately estimates the aircraft taxi time. There are many class algorithm has many applications in recent path planning studies because it can fully consider variables in this kind of algorithm model; the algorithm is complex, and the calculation amount is various airport surface limiting factors and find the optimal solution [18,19,20,21,22]. Complex algorithms considering multiple factors, and has higher practical application value
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