Real-Time Safety Driving Assistance System Based on a Smartphone (스마트폰 기반 실시간 안전운전 지원시스템)

Joon-Gyu Kang (강준규); Yoowon Kim (김유원); Moon Seog Jun (전문석)

doi:10.9708/jksci.2017.22.08.033

Real-Time Safety Driving Assistance System Based on a Smartphone

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2017, 22(8), pp.33-39
DOI : 10.9708/jksci.2017.22.08.033
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : July 11, 2017
Accepted : August 9, 2017
Published : August 31, 2017

Joon-Gyu Kang ¹, Yoowon Kim ¹, Moon Seog Jun ²

¹부천대학교
²숭실대학교

Accredited

ABSTRACT

In this paper, we propose a method which implements warning to drivers through real-time analysis of risky and unexpected driver and vehicle behavior using only a smartphone without using data from digital tachograph and vehicle internal sensors. We performed the evaluation of our system that demonstrates the effectiveness and usefulness of our method for risky and unexpected driver and vehicle behavior using three information such as vehicle speed, azimuth and GPS data which are acquired from a smartphone sensors. We confirmed the results and developed the smartphone application for validate and conducted simulation using actual driving data. This novel functionality of the smartphone application enhances drivers' situational awareness, increasing safety and effectiveness of driving.

KEYWORDS

Smartphone, Driving Assistance System, Vehicle Behavior, Situational Awareness, Safety Driving

Citation status

* References for papers published after 2023 are currently being built.

[web] Statistics Korea / Motor Vehicles Registration / http://www.index.go.kr/potal/main/EachDtlPageDetail.do?idx_cd=1257

[report] / 2013 / Global Status Report On Road Safety 2013: supporting a decade of action / World Health Organization

[book] OECD / 2015 / Road Safety Annual Report 2015 / OECD Publishing

[journal] 강준규 / 2015 / Real-time Dangerous Driving Behavior Analysis Utilizing the Digital Tachograph and Smartphone / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 20(12) : 37~44

[journal] Chao-Jung Chen / 2009 / A Real-Time Driving Assistance and Surveillance System / Journal of Information Science and Engineering 25 : 1501~1523

[confproc] Claudio Rosito Jung / 2004 / A Lane Departure Warning System Based on a Linear-Parabolic Lane Model / 2004 IEEE Intelligent Vehicles Symposium

[confproc] Adnan Shaout / 2011 / Advanced Driver Assistance Systems- Past,Present and Future / Computer Engineering Conference (ICENCO), 2011 Seventh International : 72~82

[journal] Nidhi Kalra / 2014 / Analyzing Driver Behavior using Smartphone Sensors: A Survey / International Journal of Electronic and Electrical Engineering 7(7) : 697~702

[confproc] Derick A. Johnson / 2011 / Driving Style Recognition Using a Smartphone as a Sensor Platform / 2011 14th International IEEE Conference on Intelligent Transportation Systems : 1609~1615

[confproc] Pushpendra Singh / 2013 / Using Mobile Phone Sensors to Detect Driving Behavior / Proceedings of the 3rd ACM Symposium on Computing for Development

[journal] Nidhi Kalra / 2014 / Analyzing Driving and Road Events via Smartphone / International Journal of Computer Applications 98(12)

[confproc] Jiangpeng Dai / 2010 / Mobile phone based drunk driving detection / Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2010 4th International Conference on-NO PERMISSIONS : 1~8

[thesis] Thomas Wurtz / 2007 / Integrating the Digital Tachograph with Telematics for the new European Standard / Master / The Graduate School of Inha University

[journal] 강준규 / 2013 / Digital Tachograph Vehicle Data Digital Authentication System / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 18(6) : 47~54

[confproc] Da-Ni Joo / 2013 / Characteristic Classification for Lane Change Condition Using Vehicle - Based on Velocity and Change Angle / 2013 KSAE Integrated Conference : 934~939

[other] / 2016 / Vehicle Data Analysis System User's Guide (etas.ts2020.kr) / Korea Transportation Safety Authority : 5~

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Real-Time Safety Driving Assistance System Based on a Smartphone

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Real-Time Safety Driving Assistance System Based on a Smartphone

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.