scholarly journals A Safety Collision Avoidance Algorithm Based on Comprehensive Characteristics

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Y. J. Zhang ◽  
F. Du ◽  
J. Wang ◽  
L. S. Ke ◽  
M. Wang ◽  
...  
Keyword(s):  
Collision Avoidance ◽  
Vehicle Safety ◽  
Model Parameters ◽  
Collision Risk ◽  
Environmental Characteristics ◽  
Time Model ◽  
System A ◽  
Vehicle Collision ◽  
Collision Avoidance System ◽  
The Relationship

Aiming at the requirements of vehicle safety collision avoidance system, a safety collision avoidance algorithm based on environmental characteristics and driver characteristics is proposed. By analyzing the relationship between collision avoidance time and the environment, a safety time model is established. In the established safety time model, parameters based on driver characteristics are added, which increases the flexibility of the algorithm. The algorithm can adapt to more different driving conditions and give appropriate warning thresholds. After simulation and comparison with other algorithms, the algorithm proposed in this paper can satisfied the requirements of reducing vehicle collision risk. The effectiveness and feasibility of the algorithm are verified, and the safety of vehicle driving can be improved.

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.

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