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.

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.

Couple-group consensus for second-order multi-agent systems with the effect of second-order neighbours’ information

2017 ◽  
Vol 40 (5) ◽  
pp. 1726-1737 ◽  
Author(s):  
Yulan Gao ◽  
Junyan Yu ◽  
Mei Yu ◽  
Yue Xiao ◽  
Jinliang Shao
Keyword(s):  
Time Delays ◽  
Model Transformation ◽  
Second Order ◽  
Linear Matrix ◽  
Group Consensus ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
The Impact ◽  
Theoretical Results

This paper investigates a couple-group consensus problem of second-order multi-agent systems with the impact of second-order neighbours’ information. For systems with/without time delays, couple-group consensus criteria are established in the form of linear matrix inequalities by utilizing both model transformation and stability theories. The main results indicate that the group consensus for multi-agent systems under the effect of second-order neighbours’ information can be achieved based on the premise of a generalized balanced couple. Finally, illustrative examples are presented to demonstrate the effectiveness of the theoretical results.

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.

The Weather Tool, An Agent-Based Approach to Information Integration

2011 ◽  
pp. 774-792
Author(s):  
Gunjan Kalra
Keyword(s):  
Information Integration ◽  
Information Technologies ◽  
Use Case ◽  
Multi Agent Systems ◽  
Agent Based ◽  
Agent Systems ◽  
Multi Agent ◽  
Complete Form ◽  
The Impact

This chapter discusses the process of providing information in its most accurate, complete form to its users and the difficulties faced by the users of the current information systems. The chapter describes the impact of prevalent technologies such as the Multi-Agent Systems and the Semantic Web in the area of information supply via an example implementation and a model use case. The chapter offers a potentially more efficient and robust approach to information integration and supply process. The chapter intends to highlight the complexities inherent in the process of information supply and the role of emerging information technologies in solving these challenges.

Alternative Approaches to Auction Trading by Consortia in Multi Agent Systems

2013 ◽  
pp. 1-14
Author(s):  
Barin N. Nag ◽  
Dong-Qing Yao ◽  
Sungchul Hong
Keyword(s):  
Intelligent Agents ◽  
Heuristic Methods ◽  
Multi Agent Systems ◽  
Management Activity ◽  
Chain Management ◽  
Agent Based ◽  
Agent Systems ◽  
Multi Agent ◽  
Alternative Approaches ◽  
The Impact

Agent-based auction trading is important in e-Procurement as a part of the supply chain management activity of procurement via the Internet. Participating buyers and sellers are intelligent agents tasked with finding matches with required or offered quantities for best performance. Formation of consortiums offers opportunities in matching trade volumes, but in the real world, there are difficulties in optimizing consortium formation due to lack of perfect information and the dynamic character of the information. Heuristic methods are often the only solution. This chapter shows the impact and capabilities of alternate heuristic models, and compares their performances in auction trading.

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