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Real time fuzzy based traffic flow estimation and analysis

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Real time fuzzy based traffic flow estimation and analysis. / Abbas, Muhammad; Mehboob, Fozia; Khan, Shoab A.; Rauf, Abdul; Jiang, Richard.

New Knowledge in Information Systems and Technologies - Volume 2. ed. / Álvaro Rocha; Sandra Costanzo; Hojjat Adeli; Luís Paulo Reis. Vol. 2 Springer-Verlag, 2019. p. 472-482 (Advances in Intelligent Systems and Computing; Vol. 931).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Abbas, M, Mehboob, F, Khan, SA, Rauf, A & Jiang, R 2019, Real time fuzzy based traffic flow estimation and analysis. in Á Rocha, S Costanzo, H Adeli & LP Reis (eds), New Knowledge in Information Systems and Technologies - Volume 2. vol. 2, Advances in Intelligent Systems and Computing, vol. 931, Springer-Verlag, pp. 472-482, World Conference on Information Systems and Technologies, WorldCIST 2019, Galicia, Spain, 16/04/19. https://doi.org/10.1007/978-3-030-16184-2_45

APA

Abbas, M., Mehboob, F., Khan, S. A., Rauf, A., & Jiang, R. (2019). Real time fuzzy based traffic flow estimation and analysis. In Á. Rocha, S. Costanzo, H. Adeli, & L. P. Reis (Eds.), New Knowledge in Information Systems and Technologies - Volume 2 (Vol. 2, pp. 472-482). (Advances in Intelligent Systems and Computing; Vol. 931). Springer-Verlag. https://doi.org/10.1007/978-3-030-16184-2_45

Vancouver

Abbas M, Mehboob F, Khan SA, Rauf A, Jiang R. Real time fuzzy based traffic flow estimation and analysis. In Rocha Á, Costanzo S, Adeli H, Reis LP, editors, New Knowledge in Information Systems and Technologies - Volume 2. Vol. 2. Springer-Verlag. 2019. p. 472-482. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-16184-2_45

Author

Abbas, Muhammad ; Mehboob, Fozia ; Khan, Shoab A. ; Rauf, Abdul ; Jiang, Richard. / Real time fuzzy based traffic flow estimation and analysis. New Knowledge in Information Systems and Technologies - Volume 2. editor / Álvaro Rocha ; Sandra Costanzo ; Hojjat Adeli ; Luís Paulo Reis. Vol. 2 Springer-Verlag, 2019. pp. 472-482 (Advances in Intelligent Systems and Computing).

Bibtex

@inproceedings{ed99c3f71b184ae3bba7bff82f355402,
title = "Real time fuzzy based traffic flow estimation and analysis",
abstract = "Real-time traffic flow analysis using road mounted surveillance cameras presents multitude of benefits. In this paper, we used surveillance videos to design optical flow based technique for robust motion analysis and estimation. Region growing method is employed for detection of objects of interest. Autonomous density estimation of vehicles is crucial for traffic congestion analysis so that countermeasures can be taken at the earliest possible opportunity. A video based data extraction scheme for traffic data is proposed to determine the right traffic conditions which alleviates the false alarms and detrimental noise effects. Evaluation of proposed system is done by applying approach on several surveillance videos obtained from different sources and scenarios. An experimental study illustrates estimation and analysis results accuracy as compared to state-of-the-art approaches.",
keywords = "Flow estimation, Smart city, Traffic surveillance videos",
author = "Muhammad Abbas and Fozia Mehboob and Khan, {Shoab A.} and Abdul Rauf and Richard Jiang",
year = "2019",
month = apr,
day = "19",
doi = "10.1007/978-3-030-16184-2_45",
language = "English",
isbn = "9783030161835",
volume = "2",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer-Verlag",
pages = "472--482",
editor = "{\'A}lvaro Rocha and Sandra Costanzo and Hojjat Adeli and Reis, {Lu{\'i}s Paulo}",
booktitle = "New Knowledge in Information Systems and Technologies - Volume 2",
note = "World Conference on Information Systems and Technologies, WorldCIST 2019 ; Conference date: 16-04-2019 Through 19-04-2019",

}

RIS

TY - GEN

T1 - Real time fuzzy based traffic flow estimation and analysis

AU - Abbas, Muhammad

AU - Mehboob, Fozia

AU - Khan, Shoab A.

AU - Rauf, Abdul

AU - Jiang, Richard

PY - 2019/4/19

Y1 - 2019/4/19

N2 - Real-time traffic flow analysis using road mounted surveillance cameras presents multitude of benefits. In this paper, we used surveillance videos to design optical flow based technique for robust motion analysis and estimation. Region growing method is employed for detection of objects of interest. Autonomous density estimation of vehicles is crucial for traffic congestion analysis so that countermeasures can be taken at the earliest possible opportunity. A video based data extraction scheme for traffic data is proposed to determine the right traffic conditions which alleviates the false alarms and detrimental noise effects. Evaluation of proposed system is done by applying approach on several surveillance videos obtained from different sources and scenarios. An experimental study illustrates estimation and analysis results accuracy as compared to state-of-the-art approaches.

AB - Real-time traffic flow analysis using road mounted surveillance cameras presents multitude of benefits. In this paper, we used surveillance videos to design optical flow based technique for robust motion analysis and estimation. Region growing method is employed for detection of objects of interest. Autonomous density estimation of vehicles is crucial for traffic congestion analysis so that countermeasures can be taken at the earliest possible opportunity. A video based data extraction scheme for traffic data is proposed to determine the right traffic conditions which alleviates the false alarms and detrimental noise effects. Evaluation of proposed system is done by applying approach on several surveillance videos obtained from different sources and scenarios. An experimental study illustrates estimation and analysis results accuracy as compared to state-of-the-art approaches.

KW - Flow estimation

KW - Smart city

KW - Traffic surveillance videos

U2 - 10.1007/978-3-030-16184-2_45

DO - 10.1007/978-3-030-16184-2_45

M3 - Conference contribution/Paper

AN - SCOPUS:85065078869

SN - 9783030161835

VL - 2

T3 - Advances in Intelligent Systems and Computing

SP - 472

EP - 482

BT - New Knowledge in Information Systems and Technologies - Volume 2

A2 - Rocha, Álvaro

A2 - Costanzo, Sandra

A2 - Adeli, Hojjat

A2 - Reis, Luís Paulo

PB - Springer-Verlag

T2 - World Conference on Information Systems and Technologies, WorldCIST 2019

Y2 - 16 April 2019 through 19 April 2019

ER -