Paired departure to closed spaced parallel runways can effectively improve capacity of terminal, and also can solve congestion of busy airport, but it also increases the complexity of air traffic control .For ensuring safety operation of paired departure, the longitudinal collision risk of paired departure to closed spaced parallel runways was studied. Based on the acceleration error distribution and requirements on wake avoidance during paired departure, a longitudinal collision risk safety assessment model of closed spaced parallel runways paired departure was built. The parameters in this model were determined by providing the calculation models. In the end, an example was calculated to verify the model, and it turns out that this model is feasible.
During the course of flight, we need to estimate regional sector dynamic capacity in order to assure the safety and efficiency of operation. Subjected to the controller workload and the decrease of CNS performance under the hazardous weather, and the controller workload is related to the degree of hazardous weather at the same time, the capacity on a route changing over time, the capacity of the associated sectors will also change. This paper, based on existing research, assumes a Poisson distribution flight arrival flow trends and hazardous weather in the coming period is known. It establishes a nonlinear programming model considering hazardous weather, controller workload and longitudinal interval between aircrafts innovatively, and then uses Matlab to solve the model. The results show that the model is feasible.
In order to guarantee the safety of flight in free flight environment, the minimum safety distance is needed to study. Considering the response delay of pilots and the lead time prior to initiating a maneuver, the latest maneuver moment is proposed. The position errors, which were affected by communication, navigation and surveillance (CNS) performances, were regarded as Brownian motion along the coordinate direction respectively. Then a model for collision risk in free flight environment was established basing on the stochastic differential equations. The latest maneuver moment can be obtained using dichotomy to optimize under the given Target Level of Safety (TLS). Introducing the time margin, the minimum safety distance is calculated. Finally, the feasibility of the model is verified by example.
To alleviate the conflicts between the current flight traffic demand and the resource constraints of airspace, we need to improve the restrictions of flow allocation caused by the static air traffic flow allocation mode. The author analyzes the optimal allocation problem of dynamic adjusting flight flow and draws the conclusion that the problem should satisfy multiple targets, such as low flight delays, low flight cost and balancing the load of the route. Then consider a variety of limiting factors, such as the capacity of the route, flight planning, emergency situations, etc. Then establish multi-objective programming model of dynamic adjusting flight traffic. The objective function is determined by the flight cost, the flight delays and the value of the load balance. And the value of the load balance was first proposed according to the idea of least squares method. Then solve the model based on linear weighted technique. Finally the numerical result shows that the model can satisfy the multiple objectives and dynamic adjust the flight traffic optimally, that proves the rationality and validity of the model and the algorithm.
This paper is aimed to evaluate the collision risk in free flight. The collision risk between aircrafts is mostly closely relates to position error, due to which the actual position of the aircraft is different from the displaying position and the former is in the vicinity of the latter. Analyzing error factors closely associated with the risk of collision, such as position error caused by CNS performance, altimeters and CDTI system, and according to the error distribution, the region of actual position of aircraft can be considered as a three-dimensional joint normal probability density ellipsoid. The two adjacent planes can be abstracted into two particles, of which one is based to determine position error ellipsoid, and the other is based to establish collision slab. A free flight collision risk model is established, then simplified by linear transformation according to the principle of relative motion. Using Monte Carlo method of mean of uniform random numbers, given initial state, the collision risk in free flight can be obtained. Numerical results demonstrate the feasibility of this model.
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