Along with the rapid development of airtraffic, the contradiction between conventional airtrafficmanagement(ATM)and the increasingly complex airtraffic situations is more severe,which essentially reduces the opera...
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Along with the rapid development of airtraffic, the contradiction between conventional airtrafficmanagement(ATM)and the increasingly complex airtraffic situations is more severe,which essentially reduces the operational efficiency of air transport systems. Thus,objectively measuring the airtraffic situation complexity becomes a concern in the field of ATM. Most existing studies focus on airtraffic complexity assessment,and rarely on the scientific guidance of complex traffic situations. According to the projected time of aircraft arriving at the target sector boundary,we formulated two control strategies to reduce the airtraffic complexity. The strategy of entry time optimization was applied to the controllable flights in the adjacent upstream sectors. In contrast,the strategy of flying dynamic speed optimization was applied to the flights in the target sector. During the process of solving complexity control models,we introduced a physical programming method. We transformed the multi-objective optimization problem involving complexity and delay to single-objective optimization problems by designing different preference function. Actual data validated the two complexity control strategies can eliminate the high-complexity situations in reality. The control strategy based on the entry time optimization was more efficient than that based on the speed dynamic optimization. A basic framework for studying airtraffic complexity management was preliminarily established. Our findings will help the implementation of a complexity-based ATM.
airway networks are the basic carriers of air *** airway networks will significantly improve the operating efficiency of *** study is targeted at the airway network composed of 1479 waypoints in 2018 of *** with spati...
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airway networks are the basic carriers of air *** airway networks will significantly improve the operating efficiency of *** study is targeted at the airway network composed of 1479 waypoints in 2018 of *** with spatial structures,traffic flow characteristics,and the dominating traffic flow,four airway network models are constructed from the perspective of complex networks,including physical airway network,airway traffic network,directed airway traffic network,and dominance-based directed airway traffic *** the topological characteristics of different networks are statistically analyzed by using typical network measure indices,and the differences of these indices among different networks are ***,composite indices are *** results show that the airway network under the influence of traffic flows exhibits richer heterogeneity and asymmetrical between-node relationship,and the distributions of indices among different networks are significantly *** analysis of composite indices and traffic flows show that some waypoints yield great results in multiple composite indices and traffic volumes;some waypoints display large results in multiple composite indices but low traffic flows,and other waypoints only perform well in certain composite *** importance levels of waypoints are divided,by the K-means method based on degree composite index,betweenness composite index and closeness composite index,into three levels,and the reasonableness of clustering results is validated by the statistical results of traffic flows,airport number,and flight delay.
Runway incursion has become an important factor affecting the safe operation of the airport. This article focused on the changes of several objective factors that lead to the changes of the runway incursion risk proba...
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Runway incursion has become an important factor affecting the safe operation of the airport. This article focused on the changes of several objective factors that lead to the changes of the runway incursion risk probability. These factors are the initial position of the aircraft, aircrafts' type, and initial velocity of the aircraft and friction coefficient of the runway in different weather conditions. These factors obey different probability distributions, by using the Monte Carlo method to evaluate and eventually gave the effect of different factors on the risk of runway incursion under different weather conditions, by contrasting with the actual operation, the results showed that the assessment is feasible.
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