Open Access Open Access  Restricted Access Subscription or Fee Access

Automated Engine Braking with Improved Vehicle Safety

S. Kiruthika, S. Sathian, E. Sudharsan, K.M. Sureshkumar, S. Nitin

Abstract


The paper deals with the partial automation of cars forsafety purposes.Driver weariness resulting from sleep deprivation or sleep disorders is an important factor in the creasing number of accidents on today's roads. In this project, we describe a safety prototype that controls the vehicle speed under driver fatigue. The purpose of such a model is to advance a system to detect fatigue symptoms in drivers and control the speed of vehicle to avoid accidents. The main components of the system consists of a IR Transmitter-Receiver module for real-time driver‟s eye tracking based on reflection of IR signal proceeding to seat vibration along with load stabilization detected and insinuation is sent through GSM and an adaptive speed controller designed using the theory of sliding mode servo control for providing precise positioning of the throttle valve to control speed of vehicle. The communication between driver and car integrated system is carried out by process visualization on LCD panel. A lot of effort is taken to ensure that accuracy and consistency in this project and the analysis was carried out to ensure that this project is possible.

Keywords


Fatigue Detection, IR (Infrared) Sensor, Micro-Controller, Sliding Mode Servo Control, Digital Display, GSM Communication.

Full Text:

PDF

References


S.P. Bhumkar, V.V. Deotare and R.V.Babar International Journal of Engineering Trends and Technology „Accident Avoidance and Detection on Highways‟ Volume3 Issue 2 2012, pp.247- pp.252.

Jiang Xuefeng, Xu Xian, Jin Guodong, Chen Wei, The 2nd International Conference on Computer Application and System Modeling (2012) „Research on Hill Start Control for Heavy Truck with AMT‟ pp.1769- pp.1772.

Zutao Zhang, Jiashu Zhang, (2006), Proceedings of IEEE The 6th International Conference on ITS Telecommunications „A New Real-Time Eye Tracking for Driver Fatigue Detection‟ , pp.8-pp.11.

P.K. Wong, L.M. Tam, K. Li and H.C. Wong, International Journal of Intelligent Computing and Cybernetics, Vol. 1 No. 4, 2008 „Automotive engine idle speed control optimization using least squares support vector machine and genetic algorithm‟ pp. 598- pp.616.

Manish K., Taehyun S., Zhang Y. Shift dynamics and control of dual clutch transmissions. Mechanism and Machine Theory, 2007, Vol.42, pp.168–pp.182.

Zhang L., Li H. Hilling Start-up Control Method Using Accelerometer. Vehicular Electronics and Safety, IEEE International Conference, 2006, pp.276 – pp.279.

M. Bertozzi, A. Broggi, M. Cellario, A. Fascioli, P. Lombardi, and M.Porta, “Artifical vision in road vehicles,” Proceedings of the IEEE, vol. 90,no. 7, 2002, pp. 1258–pp.1271.


Refbacks

  • There are currently no refbacks.