A big data system design to predict the vehicle slip

Joohyoung Jeon; Woosik Lee; Hyo Joo Cho; Hong Chul Lee

doi:10.1109/ICCAS.2015.7364987

A big data system design to predict the vehicle slip

Joohyoung Jeon, Woosik Lee, Hyo Joo Cho, Hong Chul Lee

School of Industrial Management Engineering

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

10 Citations (Scopus)

Abstract

In this paper, we propose a system storing sensor data generated from the vehicle using Big data system and analyzing real-time sensor output to predict the car slip. A large amount of data will be distributed and stored by MongoDB which is one of NoSQL Database, and analyzed to control the vehicle by Hadoop Map/Reduce. The proposed system can be applied to general vehicle and also to the field of driverless vehicle or driverless vehicle platooning.

Original language	English
Title of host publication	ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	592-596
Number of pages	5
ISBN (Print)	9788993215090
DOIs	https://doi.org/10.1109/ICCAS.2015.7364987
Publication status	Published - 2015 Dec 23
Event	15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of Duration: 2015 Oct 13 → 2015 Oct 16

Other

Other	15th International Conference on Control, Automation and Systems, ICCAS 2015
Country/Territory	Korea, Republic of
City	Busan
Period	15/10/13 → 15/10/16

Keywords

Big data
Car-Slip
Extended Kalman Filter
NoSQL

ASJC Scopus subject areas

Control and Systems Engineering

Access to Document

10.1109/ICCAS.2015.7364987

Cite this

A big data system design to predict the vehicle slip. / Jeon, Joohyoung; Lee, Woosik; Cho, Hyo Joo et al.
ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 592-596 7364987.

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

Jeon, J, Lee, W, Cho, HJ & Lee, HC 2015, A big data system design to predict the vehicle slip. in ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings., 7364987, Institute of Electrical and Electronics Engineers Inc., pp. 592-596, 15th International Conference on Control, Automation and Systems, ICCAS 2015, Busan, Korea, Republic of, 15/10/13. https://doi.org/10.1109/ICCAS.2015.7364987

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keywords = "Big data, Car-Slip, Extended Kalman Filter, NoSQL",

author = "Joohyoung Jeon and Woosik Lee and Cho, {Hyo Joo} and Lee, {Hong Chul}",

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AB - In this paper, we propose a system storing sensor data generated from the vehicle using Big data system and analyzing real-time sensor output to predict the car slip. A large amount of data will be distributed and stored by MongoDB which is one of NoSQL Database, and analyzed to control the vehicle by Hadoop Map/Reduce. The proposed system can be applied to general vehicle and also to the field of driverless vehicle or driverless vehicle platooning.

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A big data system design to predict the vehicle slip

Abstract

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Keywords

ASJC Scopus subject areas

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