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Publisher
Springer, Berlin, Heidelberg
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Authors: Hugo Proença Eugénio Oliveira
Publish Date: 2004/11/22
Volume: , Issue: , Pages: 12-21
Abstract
Previous research works have demonstrated that traffic control models based on the comparison between an historical archive of information and current traffic conditions tend to produce better results usually by improving the system’s proactivity behavior Based on this assumption we present in this paper MARCS – MultiAgent Railway Control System a multiagent system for communications based trains traffic control For this purpose we have developed a system infrastructure based on an architecture composed of two independent layers “Control” and “Learning”
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