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Stabilization of the Mobility in Free Traffic

Affiliations

  • Department of Electronics and Communication Engineering, SRM University, Chennai - 603203, Tamil Nadu, India
  • Department of Computer Science Engineering, Rajalakshmi Engineering College, Chennai - 602105, Tamil Nadu, India

Abstract


Objectives: Drunk driving is too dangerous and is continuing to harm many thousands of innocent lives. The main focus of this paper is to ensure safety and alertness of the drivers and people in the cars nearby the drunk driver by alerting them beforehand so as to avoid catastrophe. Methods/Statistical Analysis: An Infrared Sensor with an Electronic Nose i.e. smell sensor will be made use in either of the headlights of the car which will detect even the slightest smell of alcohol and send alerts to all the nearby cars within the range of 10 meters with the car number through app using Android Studio so that the nearby car drivers can be alert and make their own decisions to drive in the same path or change the route. Findings/Application Improvements: Keeping in mind that Nissan Motor Company has already implemented the technology which involves warning the fellow road user to stop the car and prevent the car to start if he/she is drunk, our intention is to overcome the drawback of this concept i.e. although the system will issue warnings to the drunk driver but it is his/her wish to drive or not and a person who in that state is understood to be not in full consciousness which means they can do anything. This paper is intended to ensure the safety of other cars which are being driven nearby or opposite to the drunk driver by sending those alerts .This system will make use of hardware equipment as well as software program.

Keywords

Electronic Nose, IR LED, IR Photo Diode, Pulse Decoder, Pulse Encoder.

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References


  • Teng J, Bai DPJ, Shen Z, Xuan D. Mobile phone based drunk driving detection. 4th International Conference on Pervasive Computing Technologies for Healthcare, Munchen Germany; 2010. p. 1–8.
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  • Kumaran S, Rani BS. Application of synthetic aperture focusing technique for estimation of width using pulse echo ultrasonic testing. Indian Journal of Science and Technology. 2014 Jan; 7(4). DOI: 10.17485/ijst/2014/v7i4/48624.
  • Reddy YD, Sajin AP. An efficient traffic-aware partition and aggregation for big data applications using map-reduce. Indian Journal of Science and Technology. 2016 Mar; 9(10). DOI: 10.17485/ijst/2016/v9i10/88981.

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Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.