Conflict detection method based on dynamic ship domain model for visualization of collision risk Hot-Spots

2021 ◽  
Vol 242 ◽  
pp. 110143
Author(s):  
Kezhong Liu ◽  
Zhitao Yuan ◽  
Xuri Xin ◽  
Jinfen Zhang ◽  
Weiqiang Wang
Keyword(s):  
Hot Spots ◽  
Detection Method ◽  
Conflict Detection ◽  
Domain Model ◽  
Collision Risk

Aircraft Conflict Risk Assessment Based on Particle Filter

2014 ◽  
Vol 602-605 ◽  
pp. 3416-3420
Author(s):  
Wen Peng Zhai ◽  
Hao Wu ◽  
Lan Ma
Keyword(s):  
Particle Filter ◽  
Early Stage ◽  
Random Perturbation ◽  
Kinematic Model ◽  
Detection Algorithm ◽  
Conflict Detection ◽  
Collision Risk ◽  
Free Flight ◽  
Risk Probability ◽  
Particle Filter Algorithm

Free flight is a method to resolve airspace congestion problem, but raise safety problem. In this paper, with the influence of wind and the presence of positioning error, the model of conflict detection based on particle filter algorithm is presented. According to the flight kinematic model with the influence of random factors, the target trajectory is generated. The particle filter algorithm is used for estimating the real flight trajectory. The flight collision risk probability is calculated. By simulation calculation, the conflict detection with particle filter algorism improves the accuracy of collision risk probability estimation. The results show that the particle filter conflict detection algorithm reduces the estimation and conflict detection error caused by random perturbation. The method can be applied to identify conflict in the early stage in the study of flight free flight.

A Unified Analytical Framework for Ship Domains

2009 ◽  
Vol 62 (4) ◽  
pp. 643-655 ◽  
Author(s):  
Ning Wang ◽  
Xianyao Meng ◽  
Qingyang Xu ◽  
Zuwen Wang
Keyword(s):  
Collision Avoidance ◽  
Traffic Engineering ◽  
Analytical Framework ◽  
Domain Model ◽  
Analytical Models ◽  
Collision Risk ◽  
Marine Traffic ◽  
Different Types ◽  
Domain Models ◽  
Simulation Results

Most of the existing typical ship domains have been comprehensively reviewed and classified. Most of these ship domains are described in a geometrical manner that is difficult to apply to practices and simulations in marine traffic engineering. According to different types of geometrical ship domains, we have proposed mathematical models, based on which a unified analytical framework has been established. It is feasible and practical for the analytical models to be applied to the assessment of navigational safety, collision avoidance and trajectory planning, etc. Finally, some computer simulations and comparative studies of the proposed domain model have been presented and the simulation results show that the uniform analytical framework for ship domains is effective and identical to the original geometrical ones. It should be noted that the analytical domain models could be directly applied in any collision risk, collision avoidance or VTS system while the geometrical ones would be more illustrative but less practical or analytical.

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.

The Research of Particle Learning Filter Based Conflict Detection Algorithm in Unknown Wind Condition

2014 ◽  
Vol 644-650 ◽  
pp. 2532-2536
Author(s):  
Wen Peng Zhai ◽  
Hao Wu ◽  
Lan Ma
Keyword(s):  
Dimensional Space ◽  
Low Cost ◽  
Kinematic Model ◽  
Detection Algorithm ◽  
Conflict Detection ◽  
Joint Estimation ◽  
Filter Method ◽  
Wind Condition ◽  
Collision Risk ◽  
Particle Learning

Unmanned aerial vehicles with the characteristics of zero casualties, low cost and good mobility, have broad application prospects in modern warfare and civilian areas. Conflict detection technology of UAV in an uncertain environment is prerequisite that multi-UAVs finish a task in the same airspace. In this paper, with unknown wind condition, the joint estimation of both the path and unknown parameter is presented in the risk of conflict detection algorithm. First, in the two-dimensional Cartesian coordinate system, the aircraft kinematic model under the influence of unknown wind is established, a particle learning filter method to estimated the flight track and the wind speed vector. Secondly, with the minimum horizontal and vertical safe distance, the collision risk probability of two planes in three-dimensional space is established and calculated. Finally, with a numerical example based on Matlab, the probability of collision risk is calculated, which verified the model is reasonable.

A novel conflict detection method for ABAC security policies

2021 ◽  
Vol 22 ◽  
pp. 100200
Author(s):  
Gang Liu ◽  
Wenxian Pei ◽  
Yumin Tian ◽  
Chen Liu ◽  
Shancang Li
Keyword(s):  
Detection Method ◽  
Conflict Detection ◽  
Security Policies
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