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Driving Risk Rating for Driver Monitoring Based on Satellite Data
Technical Paper
2016-01-1738
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
According to the recent study, Thailand has the 2nd most dangerous road in the world. Based on many researches, the driver is the main influencers of the traffic fatalities. Since the more dangerous the driver drive, the more chance of accident become. Therefore, driver’s monitoring system become one of the solutions that acceptable and reliable, especially for fleet management and public transportation.
This paper’s goal is to find an algorithm that can distinguish driving behaviour based on cars’ acceleration and velocity, calling it as Risk Driving Score (RDS). The algorithm was tested by driving test by volunteers on highways with observers, who were told to rank the drivers in terms of driving risk from the 1-5 point. Meanwhile, the drivers were asked to drive in 3 different styles, normal, safety, and hurry. All drives were recorded by satellite and video data then filtered and used for the algorithm calculation. After that, the linear regression shows that there is a trend of driving score evaluated by algorithm and observers in term of linear equation with high correlation. In conclusion, the algorithm can replace the observers in driver monitoring method and can be used with satellite data.
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Citation
Winitthumkul, N., Phondeenana, P., and Noomwongs, N., "Driving Risk Rating for Driver Monitoring Based on Satellite Data," SAE Technical Paper 2016-01-1738, 2016, https://doi.org/10.4271/2016-01-1738.Also In
References
- Taylor , M. C. , Lynam , D. A. , & Baruya , A. 2000 The effects of drivers’ speed on the frequency of road accidents (D. o. E. Road Safety Division, Transport and the Regions, Trans.) TRANSPORT RESEARCH LABORATORY
- Global status report on road safety: supporting a decade of action 2009 World Health Organization
- Global status report on road safety: supporting a decade of action 2013 World Health Organization
- Han , I. , & YANG , K. S. 2009 CHARACTERISTIC ANALYSIS FOR COGNITION OF DANGEROUS DRIVING USING AUTOMOBILE BLACK BOXES International Journal of Automotive Technology 10 5 597 605 10.1007/s12239-009-0070-9
- Miyajima , C. , Ukai , H. , Naito , A. , Amata , H. , Kitaoka , N. , & Takeda , K. 2011 DRIVER RISK EVALUATION BASED ON ACCELERATION, DECELERATION, AND STEERING BEHAVIOR 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 1829 1832 10.1109/ICASSP.2011.5946860
- Klauer , S. G. , Dingus , T. A. , Neale , V. L. , Sudweeks , J. D. , & and Ramsey , D. J. 2009 Comparing Real-World Behaviors of Drivers With High versus Low Rates of Crashes and Near-Crashes 204 National Technical Information Service Springfield, Virginia 22161: National Highway Traffic Safety Administration
- Accident statistics 2014 Bureau of Highway Safety Depart meant of Highways Thailand
- Peerapat P. , Nuksit N. , Sunhapos C. Chulalongkorn University, Thailand, T.Raksit, The National Electronics and Computer Technology Center, Thailand (2013) Driving Maneuver Detection System based on GPS Data The second international symposium on Future Active Safety Technology toward zero traffic accidents (FAST-zero '13) Nagoya University, Japan