Title :
Aircrafts Conflict Resolution Method Based on ADS-B and Genetic Algorithm
Author :
Yushen Ma ; Yude Ni ; Ping Liu
Author_Institution :
Tianjin Key Lab. for Adv. Signal Process., Civil Aviation Univ. of China, Tianjin, China
Abstract :
In order to implement the function of collision resolution correctly in the condition of relatively complex nature of the confliction and the flight density, a collision resolution algorithm based on ADS-B and genetic algorithm is introduced in the condition of free flight. Firstly, the algorithm encoding the position of aircraft track points in the conflict sector, using GA to optimize the objective function in the route planning, guiding and realizing the plans and choices for the 2D track of aircraft. Then, planning the no conflict flight paths for each aircraft combined with TCP+1 report from the ADS-B information, to achieve the collision resolution between aircrafts. Take 3 aircrafts which in flight conflict at same time for example, the simulation shows that the GA can search the optimal solution for the no conflict path after 30 generations calculation, and demonstrates the algorithm can provide an ideal program of conflict resolution for each aircraft in a short period of time.
Keywords :
aircraft; encoding; genetic algorithms; surveillance; trajectory optimisation (aerospace); ADS-B; GA; TCP+1 report; aircraft conflict resolution method; aircraft track points position; automatic dependent surveillance-broadcast; encoding; flight density; genetic algorithm; optimization; route guiding; route planning; Air traffic control; Aircraft; Aircraft navigation; Biological cells; Genetic algorithms; Sociology; Statistics; automatic dependent surveillance-broadcast (ADS-B); conflict resolution; genetic algorithm (GA);
Conference_Titel :
Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
Conference_Location :
Hangzhou
DOI :
10.1109/ISCID.2013.144