An overview on conflict detection and resolution methods in air traffic management using multi agent systems

2012 ◽  
Author(s):  
Hojjat Emami ◽  
Farnaz Derakhshan
Keyword(s):  
Traffic Management ◽  
Air Traffic Management ◽  
Conflict Detection ◽  
Air Traffic ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Conflict Detection And Resolution

scholarly journals Utilization of the methods of artificial intelligence for organization of unmanned traffic

2020 ◽  
pp. 51-58
Author(s):  
Roman Dushkin ◽  
Mikhail Grigor'evich Andronov
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Traffic Management ◽  
Road Traffic ◽  
Multi Agent Systems ◽  
Special Contribution ◽  
Agent Systems ◽  
Multi Agent ◽  
Computer Vision Systems ◽  
Central Control System

This article meticulously examines the questions of application of certain technologies of multi-agent systems theory in the area of unmanned traffic management for combatting the so-called “generative adversarial attacks” on the computer vision systems that are used in such vehicles. The article provides examples of generative-adversarial attacks on various types of neural networks, as well as describes the problems that arise when using computer vision. Possible solutions to these problems are proposed. Research methodology includes the theory of multi-agent systems applicable to automobile transport, which suggests using the so-called V2X-interaction, i.e. constant exchange of information between the vehicle and various actors involved in road traffic – a central control system, other vehicles, roadside infrastructure and pedestrians. The authors’ special contribution to this research lies in application of the theory of multi-agent systems for traffic arrangement with consideration of its actors as the agents with diverse roles. The novelty consists in employment of one of the methods of artificial intelligence in solution of the problems, obtained due to the use of other methods of artificial intelligence (recognition of images in computer vision). The relevance of the study is based on the detailed coverage of the questions of organization of unmanned traffic on training grounds and public roads.

scholarly journals Velocity Obstacles and Emergent Rules-of-the-Air for Autonomous Drone Traffic Management

2021 ◽  
Author(s):  
William Bonnell ◽  
R. Eddie Wilson
Keyword(s):  
Traffic Management ◽  
Swarm Robotics ◽  
Mean Transit Time ◽  
Conflict Avoidance ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Avoidance Behaviors ◽  
Multi Agent ◽  
The Mean ◽  
The Impact

As the use of unmanned aerial vehicles (UAVs) becomes ever more widespread there is a growing need to develop traffic management and flight rules, in particular for autonomous UAVs or where the predicted traffic densities far exceed those of traditional manned aviation. Inspired by the current rules of the air and multi-agent systems (e.g., pedestrians and swarm robotics) we outline a set of flight rules for autonomous UAVs that consist of waypoint following and conflict avoidance schemes. These flight rules are then explored in small,pairwise simulations and thus refined to allow a UAV to choose from three potential avoidance behaviors based on it and its neighbors velocities and positions. Finally we compare the original and modified flight rules in larger scale simulations modelling two streams of UAV traffic crossing at a point. We show that the modified rules significantly reduce the mean transit time by reducing the impact of UAVs avoiding other UAVs from the same stream.

Conflict Detection among Multiple Norms in Multi-Agent Systems

2018 ◽  
Vol 32 (4) ◽  
pp. 388-418
Author(s):  
Eduardo Augusto Silvestre ◽  
Viviane Torres da Silva
Keyword(s):  
Conflict Detection ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent
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