scholarly journals Airport traffic conflict detection and resolution algorithm evaluation

Author(s):  
D. Jones ◽  
R. Chartrand ◽  
S. Wilson ◽  
S. Commo ◽  
S. Otero ◽  
...  
Author(s):  
Yaseen Adnan Ahmed ◽  
Mohammed Abdul Hannan ◽  
Mahmoud Yasser Oraby ◽  
Adi Maimun

As the number of ships for marine transportation increases with the advancement of global trade, encountering multiple ships in marine traffic becomes common. This situation raises the risk of collision of the ships; hence this paper proposes a novel Fuzzy-logic based intelligent conflict detection and resolution algorithm, where the collision courses and possible avoiding actions are analyzed by considering ship motion dynamics and the input and output fuzzy membership functions are derived. As a conflict detection module, the Collision Risk (CR) is measured for each ship by using a scaled nondimensional Distance to the Closest Point of Approach (DCPA) and Time to the Closest Point of Approach (TCPA) as inputs. Afterwards, the decisions for collision avoidance are made based on the calculated CR, encountering angle and relative angle of each ship measured from others. In this regard, the rules for the Fuzzy interface system are defined in accordance with the COLREGs, and the whole system is implemented on the MATLAB Simulink platform. In addition, to deal with the multiple ship encounters, the paper proposes a unique maximum-course and minimum-speed change approach for decision making, which has been found to be efficient to solve Imazu problems, and other complicated multiple-ship encounters.


2021 ◽  
Vol 9 (8) ◽  
pp. 790
Author(s):  
Yaseen Adnan Ahmed ◽  
Mohammed Abdul Hannan ◽  
Mahmoud Yasser Oraby ◽  
Adi Maimun

As the number of ships for marine transportation increases with the advancement of global trade, encountering multiple ships in marine traffic becomes common. This situation raises the risk of collision of the ships; hence, this paper proposes a novel Fuzzy-logic based intelligent conflict detection and resolution algorithm, where the collision courses and possible avoiding actions are analysed by considering ship motion dynamics and the input and output fuzzy membership functions are derived. As a conflict detection module, the Collision Risk (CR) is measured for each ship by using a scaled nondimensional Distance to the Closest Point of Approach (DCPA) and Time to the Closest Point of Approach (TCPA) as inputs. Afterwards, the decisions for collision avoidance are made based on the calculated CR, encountering angle and relative angle of each ship measured from others. In this regard, the rules for the Fuzzy interface system are defined in accordance with the COLREGs, and the whole system is implemented on the MATLAB Simulink platform. In addition, to deal with the multiple ship encounters, the paper proposes a unique maximum-course and minimum-speed change approach for decision making, which has been found to be efficient to solve Imazu problems, and other complicated multiple-ship encounters.


2013 ◽  
Vol 816-817 ◽  
pp. 402-406
Author(s):  
Lei Wang ◽  
Xue Jun Zhang ◽  
Dong Han

In this paper, a general aviation airborne conflict detection and resolution simulation system is designed and implemented. We do some researches and improvements on the conflict detection and resolution algorithm that is suitable for general aviation environment. Based on this, the core system software functional modules based on VxWorks are realized. In the end, simulation and test are carried out to prove the effectiveness of its functionality and performance. Test result shows that the system is stable and meets the simulation requirements.


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