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Elektronika ir Elektrotechnika
Article . 2011 . Peer-reviewed
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Elektronika ir Elektrotechnika
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License: CC BY
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Imitation Model of Traffic Flows

Transporto srautų imitacinis modelis
Authors: Balsys, K.; Valinevicius, A.; Eidukas, D.; Kauno technologijos universitetas;

Imitation Model of Traffic Flows

Abstract

Using traffic control systems you can solve a lot of traffic problems, such as traffic incidents, fuel consumption, delays, traffic jams, emission of pollutants, parking and others. Developing traffic control systems require less cost than other parts of the transport infrastructure improvements. If you want to implement traffic control system to the streets of cities you must to estimate all traffic factors. In order to implement all traffic factors you need to create traffic flows imitation model. The developed imitational model of the traffic flows permits the modeling of various traffic flows at the intersections. The main task of this imitation model is traffic jam detection. Imitation model was tested with real and forecasted data. The developed imitational model of the intersection can be applied to any intersection of the city. Ill. 11, bibl. 6 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.112.6.447

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Lithuania
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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!
2
Average
Top 10%
Average
Green
gold