Collision Avoidance in Air Traffic — Conflict Detection and Resolution

1984 ◽  
pp. 262-269
Author(s):  
W. Schroer
Keyword(s):  
Collision Avoidance ◽  
Conflict Detection ◽  
Air Traffic ◽  
Traffic Conflict ◽  
Conflict Detection And Resolution

scholarly journals COLREGs Compliant Fuzzy-based Collision Avoidance System for Multiple Ship Encounters

2021 ◽  
Author(s):  
Yaseen Adnan Ahmed ◽  
Mohammed Abdul Hannan ◽  
Mahmoud Yasser Oraby ◽  
Adi Maimun
Keyword(s):  
Collision Avoidance ◽  
Conflict Detection ◽  
Collision Risk ◽  
Fuzzy Membership Functions ◽  
Marine Traffic ◽  
Unique Maximum ◽  
Speed Change ◽  
Conflict Detection And Resolution ◽  
Resolution Algorithm ◽  
Collision Avoidance System

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.

Distributed reactive collision avoidance for a swarm of quadrotors

2016 ◽  
Vol 231 (6) ◽  
pp. 1035-1055 ◽  
Author(s):  
J Leonard ◽  
A Savvaris ◽  
A Tsourdos
Keyword(s):  
Collision Avoidance ◽  
Large Scale ◽  
Conflict Detection ◽  
Original Method ◽  
Single Vehicle ◽  
Aerial Vehicle ◽  
Resolution Problem ◽  
Conflict Detection And Resolution ◽  
Flight Scheme ◽  
Reactive Collision

The large-scale of unmanned aerial vehicle applications has escalated significantly within the last few years, and the current research is slowly hinting at a move from single vehicle applications to multivehicle systems. As the number of agents operating in the same environment grows, conflict detection and resolution becomes one of the most important factors of the autonomous system to ensure the vehicles’ safety throughout the completion of their missions. The work presented in this paper describes the implementation of the novel distributed reactive collision avoidance algorithm proposed in the literature, improved to fit a swarm of quadrotor helicopters. The original method has been extended to function in dense and crowded environments with relevant spatial obstacle constraints and deconfliction manoeuvres for high number of vehicles. Additionally, the collision avoidance is modified to work in conjunction with a dynamic close formation flight scheme. The solution presented to the conflict detection and Resolution problem is reactive and distributed, making it well suited for real-time applications. The final avoidance algorithm is tested on a series of crowded scenarios to test its performances in close quarters.

Conflict Detection and Resolution in Air Traffic Control

1964 ◽  
Vol 17 (4) ◽  
pp. 433-448
Author(s):  
B. W. Oakley
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Conflict Detection ◽  
Air Traffic ◽  
Radar Observations ◽  
Zero Velocity ◽  
Conflict Detection And Resolution

One of the principal functions of air traffic control is to ensure that aircraft do not conflict, that is, do not approach each other sufficiently close to give rise to the possibility of collision. (Another function of air traffic control is to ensure that aircraft do not conflict with terrestrial objects, but this is outside the scope of this paper except in so far as such objects can be treated as aircraft with zero velocity.) The ‘possibility of collision’ is, of course, a matter for definition. It is often treated as an approach within 5 miles in plan and 500 or 1000 ft. in height (Fig. 1). The definition must depend upon the form of the aircraft track information available to the air traffic service—essentially flight plans updated by pilot reports—or the radar observations with which this paper is primarily concerned.

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