A safety driving assistance system by integrating in-vehicle dynamics and real-Time traffic information

Yi Cheng Tsai, Wei-Hsun Lee, Chien Ming Chou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Dangerous driving behaviors can lead to traffic accidents. However, there is a lack of systematic real-Time driving monitoring and alerting mechanism. In this paper, nine major dangerous driving behaviors are identified and defined based on past researches and experiences. An on-board safety driving assistance system, which utilizes in-vehicle dynamics and real-Time traffic information, is proposed to instantly detect dangerous driving behaviors and alert the driver during driving periods. The in-vehicle dynamics are collected from On-Board Diagnostics (OBD-II), an accelerometer and a gyroscope. The real-Time traffic information is collected from a camera with image processing. The proposed system is implemented on a CPU board with a user interface (UI), which shows alerting icons when dangerous behaviors occur.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 8th International Conference on Awareness Science and Technology, iCAST 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages416-421
Number of pages6
ISBN (Electronic)9781538629659
DOIs
Publication statusPublished - 2017 Jul 1
Event8th IEEE International Conference on Awareness Science and Technology, iCAST 2017 - Taichung, Taiwan
Duration: 2017 Nov 82017 Nov 10

Publication series

NameProceedings - 2017 IEEE 8th International Conference on Awareness Science and Technology, iCAST 2017
Volume2018-January

Other

Other8th IEEE International Conference on Awareness Science and Technology, iCAST 2017
CountryTaiwan
CityTaichung
Period17-11-0817-11-10

Fingerprint

Dangerous Behavior
Vehicle Dynamics
Safety
Traffic
Real-time
Highway accidents
Gyroscopes
Accelerometers
User interfaces
Program processors
Image processing
Cameras
Traffic Accidents
Monitoring
Gyroscope
Accelerometer
Accidents
User Interface
Driver
Image Processing

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Control and Optimization
  • Health Informatics

Cite this

Tsai, Y. C., Lee, W-H., & Chou, C. M. (2017). A safety driving assistance system by integrating in-vehicle dynamics and real-Time traffic information. In Proceedings - 2017 IEEE 8th International Conference on Awareness Science and Technology, iCAST 2017 (pp. 416-421). (Proceedings - 2017 IEEE 8th International Conference on Awareness Science and Technology, iCAST 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAwST.2017.8256491
Tsai, Yi Cheng ; Lee, Wei-Hsun ; Chou, Chien Ming. / A safety driving assistance system by integrating in-vehicle dynamics and real-Time traffic information. Proceedings - 2017 IEEE 8th International Conference on Awareness Science and Technology, iCAST 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 416-421 (Proceedings - 2017 IEEE 8th International Conference on Awareness Science and Technology, iCAST 2017).
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abstract = "Dangerous driving behaviors can lead to traffic accidents. However, there is a lack of systematic real-Time driving monitoring and alerting mechanism. In this paper, nine major dangerous driving behaviors are identified and defined based on past researches and experiences. An on-board safety driving assistance system, which utilizes in-vehicle dynamics and real-Time traffic information, is proposed to instantly detect dangerous driving behaviors and alert the driver during driving periods. The in-vehicle dynamics are collected from On-Board Diagnostics (OBD-II), an accelerometer and a gyroscope. The real-Time traffic information is collected from a camera with image processing. The proposed system is implemented on a CPU board with a user interface (UI), which shows alerting icons when dangerous behaviors occur.",
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Tsai, YC, Lee, W-H & Chou, CM 2017, A safety driving assistance system by integrating in-vehicle dynamics and real-Time traffic information. in Proceedings - 2017 IEEE 8th International Conference on Awareness Science and Technology, iCAST 2017. Proceedings - 2017 IEEE 8th International Conference on Awareness Science and Technology, iCAST 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 416-421, 8th IEEE International Conference on Awareness Science and Technology, iCAST 2017, Taichung, Taiwan, 17-11-08. https://doi.org/10.1109/ICAwST.2017.8256491

A safety driving assistance system by integrating in-vehicle dynamics and real-Time traffic information. / Tsai, Yi Cheng; Lee, Wei-Hsun; Chou, Chien Ming.

Proceedings - 2017 IEEE 8th International Conference on Awareness Science and Technology, iCAST 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 416-421 (Proceedings - 2017 IEEE 8th International Conference on Awareness Science and Technology, iCAST 2017; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Tsai YC, Lee W-H, Chou CM. A safety driving assistance system by integrating in-vehicle dynamics and real-Time traffic information. In Proceedings - 2017 IEEE 8th International Conference on Awareness Science and Technology, iCAST 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 416-421. (Proceedings - 2017 IEEE 8th International Conference on Awareness Science and Technology, iCAST 2017). https://doi.org/10.1109/ICAwST.2017.8256491