01006669

Component

https://doi.org/10.3141/1910-13

http://scholar.google.com...oorn&publication_year=2005

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.

01006661

English

pp 108-115

2005

Transportation Research Record: Journal of the Transportation Research Board

030909383X

Print

Figures (8) ; References (32) ; Tables (1)

Artificial intelligence; Highway traffic control; Literature reviews; Multi-agent systems; Test beds

Distributed intelligence

Highways; Operations and Traffic Management; I73: Traffic Control

TRIS, TRB, ATRI

Oct 26 2005 4:13PM

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• Dedicated Short-Range Wireless Communications for Intelligent Transportation System Applications: State of the Art
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• Effective and Sustainable Development of Chinese National Intelligent Transportation System Architecture
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• Network and Communication Design of a Work Zone Intelligent Transportation System
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• Probabilistic Approach for Validation of Advanced Driver Assistance Systems
• Simulation-Based Evaluation of Advanced Traveler Information Systems