Vehicle traffic monitoring using single camera and embedded systems

Rindra Wiska; MacHmud R. Alhamidi; Novian Habibie; Ari Wibisono; Petrus Mursanto; Doni Hikmat Ramdhan; M. Febrian Rachmadi; Wisnu Jatmiko

doi:10.1109/ICACSIS.2016.7872806

Vehicle traffic monitoring using single camera and embedded systems

Rindra Wiska, MacHmud R. Alhamidi, Novian Habibie, Ari Wibisono, Petrus Mursanto, Doni Hikmat Ramdhan, M. Febrian Rachmadi, Wisnu Jatmiko

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

2 Citations (Scopus)

Abstract

Traffic congestion is a problem that often occurs in the big cities in Indonesia. It is caused by very rapid increase of vehicle. The offered solution is to monitor the traffic situation automatically. We implemented the method of detecting vehicle during night in four single board computers (SBC) that are: Raspberry Pi B+, Beagleboard Xm, Raspberry Pi 2 and Odroid XU4. Perfomance of Odroid XU4 exceed other single board computers in which the maximum fps obtained 30 frame per second(fps) and the maximum accuracy of vehicle detection reached 98 percent.

Original language	English
Title of host publication	2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	117-122
Number of pages	6
ISBN (Electronic)	9781509046294
DOIs	https://doi.org/10.1109/ICACSIS.2016.7872806
Publication status	Published - 6 Mar 2017
Event	8th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016 - Malang, Indonesia Duration: 15 Oct 2016 → 16 Oct 2016

Publication series

Name	2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016

Conference

Conference	8th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
Country/Territory	Indonesia
City	Malang
Period	15/10/16 → 16/10/16

Keywords

Intelligent Transportation System (ITS)
Odroid XU4
Vehicle Detection

Access to Document

10.1109/ICACSIS.2016.7872806

Cite this

Wiska, R., Alhamidi, M. R., Habibie, N., Wibisono, A., Mursanto, P., Ramdhan, D. H., Rachmadi, M. F., & Jatmiko, W. (2017). Vehicle traffic monitoring using single camera and embedded systems. In 2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016 (pp. 117-122). Article 7872806 (2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACSIS.2016.7872806

Wiska, Rindra ; Alhamidi, MacHmud R. ; Habibie, Novian et al. / Vehicle traffic monitoring using single camera and embedded systems. 2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 117-122 (2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016).

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abstract = "Traffic congestion is a problem that often occurs in the big cities in Indonesia. It is caused by very rapid increase of vehicle. The offered solution is to monitor the traffic situation automatically. We implemented the method of detecting vehicle during night in four single board computers (SBC) that are: Raspberry Pi B+, Beagleboard Xm, Raspberry Pi 2 and Odroid XU4. Perfomance of Odroid XU4 exceed other single board computers in which the maximum fps obtained 30 frame per second(fps) and the maximum accuracy of vehicle detection reached 98 percent.",

keywords = "Intelligent Transportation System (ITS), Odroid XU4, Vehicle Detection",

author = "Rindra Wiska and Alhamidi, {MacHmud R.} and Novian Habibie and Ari Wibisono and Petrus Mursanto and Ramdhan, {Doni Hikmat} and Rachmadi, {M. Febrian} and Wisnu Jatmiko",

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doi = "10.1109/ICACSIS.2016.7872806",

language = "English",

series = "2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Wiska, R, Alhamidi, MR, Habibie, N, Wibisono, A , Mursanto, P , Ramdhan, DH, Rachmadi, MF & Jatmiko, W 2017, Vehicle traffic monitoring using single camera and embedded systems. in 2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016., 7872806, 2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016, Institute of Electrical and Electronics Engineers Inc., pp. 117-122, 8th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016, Malang, Indonesia, 15/10/16. https://doi.org/10.1109/ICACSIS.2016.7872806

Vehicle traffic monitoring using single camera and embedded systems. / Wiska, Rindra; Alhamidi, MacHmud R.; Habibie, Novian et al.
2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 117-122 7872806 (2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016).

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

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AB - Traffic congestion is a problem that often occurs in the big cities in Indonesia. It is caused by very rapid increase of vehicle. The offered solution is to monitor the traffic situation automatically. We implemented the method of detecting vehicle during night in four single board computers (SBC) that are: Raspberry Pi B+, Beagleboard Xm, Raspberry Pi 2 and Odroid XU4. Perfomance of Odroid XU4 exceed other single board computers in which the maximum fps obtained 30 frame per second(fps) and the maximum accuracy of vehicle detection reached 98 percent.

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Wiska R, Alhamidi MR, Habibie N, Wibisono A , Mursanto P , Ramdhan DH et al. Vehicle traffic monitoring using single camera and embedded systems. In 2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 117-122. 7872806. (2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016). doi: 10.1109/ICACSIS.2016.7872806

Vehicle traffic monitoring using single camera and embedded systems

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