Automation of the traffic flow data collection and analysis process to avoid traffic congestions in Mogilev

I. A. Melnikau; K. A. Demedenkov; I. A. Yeuseyenka

Geodesic

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Automation of the traffic flow data collection and analysis process to avoid traffic congestions in Mogilev

I. A. Melnikau ; K. A. Demedenkov ; I. A. Yeuseyenka

Problemy fiziki, matematiki i tehniki, no. 2 (2014), pp. 84-88

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Résumé

The analysis of commonly used traffic detectors and advantages and disadvantages of optical traffic detectors (IP-cameras)is given. The model of the traffic flow data collection and analysis automation system and the method of modification of the Multi-Layer Background Subtraction algorithm using parallel computing based on the graphic processors are suggested. The experimental investigations show that the modified method can help to decrease video frame processing speed in 1.9 times.

Keywords: traffic flow, traffic detector, traffic density, traffic flow intensity, Multi-Layer Background Subtraction algorithm.

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     author = {I. A. Melnikau and K. A. Demedenkov and I. A. Yeuseyenka},
     title = {Automation of the traffic flow data collection and analysis process to avoid traffic congestions in {Mogilev}},
     journal = {Problemy fiziki, matematiki i tehniki},
     pages = {84--88},
     publisher = {mathdoc},
     number = {2},
     year = {2014},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/PFMT_2014_2_a13/}
}

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I. A. Melnikau; K. A. Demedenkov; I. A. Yeuseyenka. Automation of the traffic flow data collection and analysis process to avoid traffic congestions in Mogilev. Problemy fiziki, matematiki i tehniki, no. 2 (2014), pp. 84-88. http://geodesic.mathdoc.fr/item/PFMT_2014_2_a13/