National Key Laboratory of Air Traffic Control Automation System Technology

Chengdu, China

National Key Laboratory of Air Traffic Control Automation System Technology

Chengdu, China

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Li J.,Sichuan University | Liang W.,Sichuan University | Li Y.,National Key Laboratory of Air Traffic Control Automation System Technology
Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS | Year: 2014

The fusion of artificial fish algorithm and genetic algorithm is proposed to optimize the flight scheduling of two-runway in large airport in which the problems are difficult, inefficient and serious flight delays. First, in this paper, the shortcomings of artificial fish algorithm and genetic algorithm are analyzed, and combing the advantages of two algorithms, optimization algorithm is proposed based on the fusion of artificial fish swarm algorithm and genetic algorithm; Secondly, the objective function model of the total of time-consuming which is minimum about dual runway is established; Finally, the simulation results show that the fusion algorithm in operating efficiency, the reduction of flight delays and other aspects is better than first-come, first-served (FCFS), artificial fish algorithm and genetic algorithm, and can get better convergence results. © 2014 IEEE.


Liang W.,Sichuan University | Li Y.,National Key Laboratory of Air Traffic Control Automation System Technology
Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS | Year: 2014

As the flight scheduling has always been a key technology which reduces flight delays and costs. Rational and efficient flight sorting method not only can effectively improve the utilization of the airport, reduce flight delay, but also ensure flight safety and reduce the incidence of sudden accidents. Firstly, we studied the application of ant colony algorithm in flight sorting, and proposed a new flight sorting method which is combined with ant colony algorithm and genetic algorithm depending on the mutation characteristic of genetic algorithm; Secondly, the minimization objective model that the flight total delay was minimum was established based on the sorting method; Finally, the simulation experiment was done based on the model. The simulation results show that the proposed method can effectively reduce flight delay. Comparing with ant colony algorithm, the global optimal flight sequence can be found in a shorter time. © 2014 IEEE.


Liang H.,National Key Laboratory of Air Traffic Control Automation System Technology | Liang H.,National Key Laboratory of Fundamental Science on Synthetic Vision | Yang H.,National Key Laboratory of Air Traffic Control Automation System Technology | Yang H.,National Key Laboratory of Fundamental Science on Synthetic Vision | And 2 more authors.
Journal of Computational Information Systems | Year: 2012

Medium term conict detection is a main collaborate decision-making tool for the air traffic control. With the development of green air management and low level opening up of airspace, a conict detection method based on approximate optimal solution is proposed to predict ight conict problems. On the base of the features of ight path, the model tries to solve conict probability after integrating ight path by time. Moreover, the model presents the method of approximate optimal solution which takes into consideration the efficiency of continuous computing conict probability and the ight conict situation of the changing ight level during free ight. Numerical results are presented and illustrated by analyzing track errors, the features of precision parameter and the effects on false-alarm. The results show that the model is exible and practical, making this method appropriate for air traffic control. © 2012 Binary Information Press.


Liang H.,National Key Laboratory of Air Traffic Control Automation System Technology | Yang H.,National Key Laboratory of Air Traffic Control Automation System Technology | Yang B.,National Key Laboratory of Air Traffic Control Automation System Technology
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences | Year: 2013

A new paradigm for building Virtual Controller Model (VCM) for traffic flow simulator is developed. It is based on flight plan data and is applied to Traffic Flow Management System (TFMS) in China. The problem of interest is focused on the sectors of airspace and how restrictions to aircraft movement are applied by air traffic controllers and demand overages or capacity shortfalls in sectors of airspace. To estimate and assess the balance between the traffic flow and the capacity of sector in future, we apply Virtual Controller model, which models by the sectors airspace system and its capacity constraints. Numerical results are presented and illustrated by applying them to air traffic data for a typical day in the Traffic Flow Management System. The results show that the predictive capabilities of the model are successfully validated by showing a comparison between real flow data and simulated sector flow, making this method appropriate for traffic flow management system. Copyright © 2013 The Institute of Electronics, Information and Communication Engineers.

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