Adapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant-hierarchical fuzzy model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092811" target="_blank" >RIV/61989100:27240/14:86092811 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86092811
Result on the web
<a href="http://dx.doi.org/10.1016/j.trc.2014.03.003" target="_blank" >http://dx.doi.org/10.1016/j.trc.2014.03.003</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.trc.2014.03.003" target="_blank" >10.1016/j.trc.2014.03.003</a>

Result language
angličtina
Original language name
Adapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant-hierarchical fuzzy model
Original language description
Usually, road networks are characterized by their great dynamics including different entities in interactions. This leads to more complex road traffic management. This paper proposes an adaptive multiagent system based on the ant colony behavior and thehierarchical fuzzy model. This system allows adjusting efficiently the road traffic according to the real-time changes in road networks by the integration of an adaptive vehicle route guidance system. The proposed system is implemented and simulated under a multiagent platform in order to discuss the improvement of the global road traffic quality in terms of time, fluidity and adaptivity. 2014 Elsevier Ltd.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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