A Test Bed for Multi-Agent Control Systems in Road Traffic Management

2005 ◽  
pp. 113-131 ◽  
Author(s):  
R.T. van Katwijk ◽  
P. van Koningsbruggen ◽  
B. De Schutter ◽  
J. Hellendoorn
Keyword(s):  
Control Systems ◽  
Traffic Management ◽  
Road Traffic ◽  
Test Bed ◽  
Multi Agent ◽  
Agent Control

Test Bed for Multiagent Control Systems in Road Traffic Management

2005 ◽  
Vol 1910 (1) ◽  
pp. 108-115
Author(s):  
R. T. van Katwijk ◽  
P. van Koningsbruggen ◽  
B. De Schutter ◽  
J. Hellendoorn
Keyword(s):  
Control Systems ◽  
Traffic Control ◽  
Traffic Management ◽  
Multiagent System ◽  
Road Traffic ◽  
Heterogeneous Traffic ◽  
Distributed Artificial Intelligence ◽  
Test Bed ◽  
Coordination Problem ◽  
Multiagent Control

A test bed for multiagent control systems in road traffic management is presented. As the complexity of traffic control on a network grows, it becomes more difficult to coordinate the actions of the large number of heterogeneous traffic management instruments that are available in the network. One way of handling this complexity is to divide the coordination problem into smaller coherent subproblems that can be solved with a minimum of interaction. Multiagent systems can aid in the distribution of the problem (over the various agents that compose the multiagent system) and facilitate the coordination of the activities of these agents when required. In the literature, no consensus exists about the best configuration of the traffic-managing multiagent system and how the activities of the agents that compose the multiagent system should be coordinated. The decomposition of a problem into various subproblems is an active field of research in the world of distributed artificial intelligence. A survey of approaches reported in the literature is presented. Subsequently, both the test bed and the modules that compose it are introduced. Finally, an application is presented that illustrates some of the research the test bed has made possible.

scholarly journals Differential Privacy and Minimum-Variance Unbiased Estimation in Multi-agent Control Systems

2017 ◽  
Vol 50 (1) ◽  
pp. 9521-9526 ◽  
Author(s):  
Yu Wang ◽  
Sayan Mitra ◽  
Geir E. Dullerud
Keyword(s):  
Control Systems ◽  
Differential Privacy ◽  
Minimum Variance ◽  
Unbiased Estimation ◽  
Multi Agent ◽  
Agent Control

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 Finite horizon discrete models for multi-agent control systems with coupled dynamics

Automatica ◽  
2020 ◽  
Vol 115 ◽  
pp. 108838
Author(s):  
Dimitris Boskos ◽  
Dimos V. Dimarogonas
Keyword(s):  
Control Systems ◽  
Finite Horizon ◽  
Discrete Models ◽  
Coupled Dynamics ◽  
Multi Agent ◽  
Agent Control
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