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Traffic control assistance in connection nodes

Authors: Hakim Laïchour; Salah Maouche; René Mandiau;

Traffic control assistance in connection nodes

Abstract

Presents an architecture for modeling an urban transport systems. The model proposed is based on a hierarchical multi-agent system (HMAS). This model is used in order to design a decision-support system (DSS) to facilitate the regulator's work by proposing for him various regulation actions in every connection node. Our system of aid is called SARC (Systeme d'Aide a la Regulation des Correspondances: System of Aid to the Regulation of the Connections). The supervision of an urban transport system is essential in order to predict the disturbances. An optimal organization of the connections is suggested, in normal or disturbed conditions, to avoid loss of time for the passengers. Our model includes a supervisor agent (interface), a connection agent (decision) for each connection node and an acquisition agent (perception) for each regulation station. The decision-support is represented by the connection agents which is the essential object in our research.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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