An efficient statistical-based approach for road traffic congestion monitoring

Zeroual Abdelhafid; Fouzi Harrou; Ying Sun

doi:10.1109/ICEE-B.2017.8192228

An efficient statistical-based approach for road traffic congestion monitoring

Zeroual Abdelhafid, Fouzi Harrou, Ying Sun

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

In this paper, we propose an effective approach which has to detect traffic congestion. The detection strategy is based on the combinational use of piecewise switched linear traffic (PWSL) model with exponentially-weighted moving average (EWMA) chart. PWSL model describes traffic flow dynamics. Then, PWSL residuals are used as the input of EWMA chart to detect traffic congestions. The evaluation results of the developed approach using data from a portion of the I210-W highway in Califorina showed the efficiency of the PWSL-EWMA approach in in detecting traffic congestions.

Original language	English (US)
Title of host publication	2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-5
Number of pages	5
ISBN (Print)	9781538606865
DOIs	https://doi.org/10.1109/ICEE-B.2017.8192228
State	Published - Dec 14 2017

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10.1109/ICEE-B.2017.8192228

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title = "An efficient statistical-based approach for road traffic congestion monitoring",

abstract = "In this paper, we propose an effective approach which has to detect traffic congestion. The detection strategy is based on the combinational use of piecewise switched linear traffic (PWSL) model with exponentially-weighted moving average (EWMA) chart. PWSL model describes traffic flow dynamics. Then, PWSL residuals are used as the input of EWMA chart to detect traffic congestions. The evaluation results of the developed approach using data from a portion of the I210-W highway in Califorina showed the efficiency of the PWSL-EWMA approach in in detecting traffic congestions.",

author = "Zeroual Abdelhafid and Fouzi Harrou and Ying Sun",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): OSR-2015-CRG4-2582 Acknowledgements: The research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No: OSR-2015-CRG4-2582.",

year = "2017",

month = dec,

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doi = "10.1109/ICEE-B.2017.8192228",

language = "English (US)",

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pages = "1--5",

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An efficient statistical-based approach for road traffic congestion monitoring. / Abdelhafid, Zeroual; Harrou, Fouzi; Sun, Ying.
2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B). Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 1-5.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - An efficient statistical-based approach for road traffic congestion monitoring

AU - Abdelhafid, Zeroual

AU - Harrou, Fouzi

AU - Sun, Ying

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): OSR-2015-CRG4-2582 Acknowledgements: The research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No: OSR-2015-CRG4-2582.

PY - 2017/12/14

Y1 - 2017/12/14

N2 - In this paper, we propose an effective approach which has to detect traffic congestion. The detection strategy is based on the combinational use of piecewise switched linear traffic (PWSL) model with exponentially-weighted moving average (EWMA) chart. PWSL model describes traffic flow dynamics. Then, PWSL residuals are used as the input of EWMA chart to detect traffic congestions. The evaluation results of the developed approach using data from a portion of the I210-W highway in Califorina showed the efficiency of the PWSL-EWMA approach in in detecting traffic congestions.

AB - In this paper, we propose an effective approach which has to detect traffic congestion. The detection strategy is based on the combinational use of piecewise switched linear traffic (PWSL) model with exponentially-weighted moving average (EWMA) chart. PWSL model describes traffic flow dynamics. Then, PWSL residuals are used as the input of EWMA chart to detect traffic congestions. The evaluation results of the developed approach using data from a portion of the I210-W highway in Califorina showed the efficiency of the PWSL-EWMA approach in in detecting traffic congestions.

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DO - 10.1109/ICEE-B.2017.8192228

M3 - Conference contribution

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BT - 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

An efficient statistical-based approach for road traffic congestion monitoring

Abstract

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